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• Sensors and Navigation Algorithms for Flight Control of Tethered Kites
  We present the sensor setup and the basic navigation algorithm used for the flight control of the SkySails towing kite system. Starting with brief summaries on system setup and equations of motion of the tethered kite system, we subsequently give an overview o…
  arxiv Michael Erhard, Hans Strauch 2013-04-08T15:14:56Z 置信度 0.78 eess.SY
• Implementation of model predictive control for tracking in embedded systems using a sparse extended ADMM algorithm
  This article presents a sparse, low-memory footprint optimization algorithm for the implementation of the model predictive control (MPC) for tracking formulation in embedded systems. This MPC formulation has several advantages over standard MPC formulations, s…
  arxiv Pablo Krupa, Ignacio Alvarado, Daniel Limon, Teodoro Alamo 2020-08-20T16:47:59Z 置信度 0.78 eess.SYmath.OC
• Model Predictive Control of Hybrid Dynamical Systems
  The problem of controlling hybrid dynamical systems using model predictive control (MPC) is formulated and sufficient conditions for asymptotic stability of a set are provided. Hybrid dynamical systems are modeled in terms of hybrid equations, involving a diff…
  arxiv Ricardo G. Sanfelice, Berk Altin 2026-04-23T18:15:44Z 置信度 0.78 math.OCcs.AIcs.ROeess.SYmath.DS
• Control of a Rigid Wing Pumping Airborne Wind Energy System in all Operational Phases
  The control design of an airborne wind energy system with rigid aircraft, vertical take-off and landing, and pumping operation is described. A hierarchical control structure is implemented, in order to address all operational phases: take-off, transition to po…
  arxiv Davide Todeschini, Lorenzo Fagiano, Claudio Micheli, Aldo Cattano 2020-06-19T13:52:38Z 置信度 0.78 eess.SYmath.OC
• Safe Control Synthesis via Input Constrained Control Barrier Functions
  This paper introduces the notion of an Input Constrained Control Barrier Function (ICCBF), as a method to synthesize safety-critical controllers for non-linear control affine systems with input constraints. The method identifies a subset of the safe set of sta…
  arxiv Devansh Agrawal, Dimitra Panagou 2021-04-04T21:50:42Z 置信度 0.78 math.OCeess.SY
• Exponential input-to-state stabilization of a class of diagonal boundary control systems with delay boundary control
  This paper deals with the exponential input-to-state stabilization with respect to boundary disturbances of a class of diagonal infinite-dimensional systems via delay boundary control. The considered input delays are uncertain and time-varying. The proposed co…
  arxiv Hugo Lhachemi, Robert Shorten, Christophe Prieur 2020-03-12T11:22:00Z 置信度 0.78 math.OCeess.SY
• A Control-Oriented Notion of Finite State Approximation
  We consider the problem of approximating discrete-time plants with finite-valued sensors and actu- ators by deterministic finite memory systems for the purpose of certified-by-design controller synthesis. Building on ideas from robust control, we propose a con…
  arxiv Danielle C. Tarraf 2011-05-19T04:55:00Z 置信度 0.78 math.OCeess.SY
• A Review of Pseudospectral Optimal Control: From Theory to Flight
  The home space for optimal control is a Sobolev space. The home space for pseudospectral theory is also a Sobolev space. It thus seems natural to combine pseudospectral theory with optimal control theory and construct ``pseudospectral optimal control theory,''…
  arxiv I. M. Ross, M. Karpenko 2025-11-25T20:47:48Z 置信度 0.78 math.OCcs.AIeess.SYmath.FAmath.NA
• A Quantum-Compliant Formulation for Network Epidemic Control
  We deal with controlling the spread of an epidemic disease on a network by isolating one or multiple locations by banning people from leaving them. To this aim, we build on the susceptible-infected-susceptible and the susceptible-infected-removed discrete-time…
  arxiv Lorenzo Zino, Mattia Boggio, Deborah Volpe, Giacomo Orlandi 等 2025-08-30T03:36:25Z 置信度 0.78 eess.SYmath.OCphysics.soc-ph
• On $\ell_2$-performance of weakly-hard real-time control systems
  This paper considers control systems with failures in the feedback channel, that occasionally lead to loss of the control input signal. A useful approach for modeling such failures is to consider window-based constraints on possible loss sequences, for example…
  arxiv Marc Seidel, Simon Lang, Frank Allgöwer 2023-05-13T09:18:35Z 置信度 0.78 eess.SYmath.OC
• Convergence of the shooting algorithm for singular optimal control problems
  In this article we propose a shooting algorithm for optimal control problems governed by systems that are affine in one part of the control variable. Finitely many equality constraints on the initial and final state are considered. We recall a second order suf…
  arxiv Maria Soledad Aronna 2013-06-29T18:52:52Z 置信度 0.78 math.OCmath.NA
• Data-Driven Control of Nonlinear Systems: Beyond Polynomial Dynamics
  In this paper, we present a data-driven controller design method for continuous-time nonlinear systems, using no model knowledge but only measured data affected by noise. While most existing approaches focus on systems with polynomial dynamics, our approach al…
  arxiv Robin Strässer, Julian Berberich, Frank Allgöwer 2020-11-23T12:14:28Z 置信度 0.78 eess.SYmath.OC
• Analysis and design of model predictive control frameworks for dynamic operation -- An overview
  This article provides an overview of model predictive control (MPC) frameworks for dynamic operation of nonlinear constrained systems. Dynamic operation is often an integral part of the control objective, ranging from tracking of reference signals to the gener…
  arxiv Johannes Köhler, Matthas A. Müller, Frank Allgöwer 2023-07-06T14:07:51Z 置信度 0.78 eess.SYmath.OC
• Using quantum computers in control: interval matrix properties
  Quantum computing provides a powerful framework for tackling computational problems that are classically intractable. The goal of this paper is to explore the use of quantum computers for solving relevant problems in systems and control theory. In the recent l…
  arxiv Jan Schneider, Julian Berberich 2024-03-26T13:58:21Z 置信度 0.78 eess.SYmath.OCquant-ph
• Geometric Programming-Based Control for Nonlinear, DAE-Constrained Water Distribution Networks
  Control of water distribution networks (WDNs) can be represented by an optimization problem with hydraulic models describing the nonlinear relationship between head loss, water flow, and demand. The problem is difficult to solve due to the non-convexity in the…
  arxiv Shen Wang, Ahmad F. Taha, Nikolaos Gatsis, Marcio Giacomoni 2019-02-16T02:12:19Z 置信度 0.78 math.OCeess.SY
• On Controller Design for Systems on Manifolds in Euclidean Space
  A new method is developed to design controllers in Euclidean space for systems defined on manifolds. The idea is to embed the state-space manifold $M$ of a given control system into some Euclidean space $\mathbb R^n$, extend the system from $M$ to the ambient …
  arxiv Dong Eui Chang 2018-07-10T04:18:41Z 置信度 0.78 math.OCcs.ROeess.SY
• Koopman-based control using sum-of-squares optimization: Improved stability guarantees and data efficiency
  In this paper, we propose a novel controller design approach for unknown nonlinear systems using the Koopman operator. In particular, we use the recently proposed stability- and feedback-oriented extended dynamic mode decomposition (SafEDMD) architecture to ge…
  arxiv Robin Strässer, Julian Berberich, Frank Allgöwer 2024-11-06T12:44:41Z 置信度 0.78 eess.SYmath.OC
• Robust Local Stabilization of Nonlinear Systems with Controller-Dependent Norm Bounds: A Convex Approach with Input-Output Sampling
  This letter presents a framework for synthesizing a robust full-state feedback controller for systems with unknown nonlinearities. Our approach characterizes input-output behavior of the nonlinearities in terms of local norm bounds using available sampled data…
  arxiv Sze Kwan Cheah, Diganta Bhattacharjee, Maziar S. Hemati, Ryan J. Caverly 2022-12-06T18:46:49Z 置信度 0.78 math.OCeess.SY
• Predictive Control Barrier Functions for Online Safety Critical Control
  This paper presents a methodology for constructing Control Barrier Functions (CBFs) that proactively consider the future safety of a system along a nominal trajectory, and effect corrective action before the trajectory leaves a designated safe set. Specificall…
  arxiv Joseph Breeden, Dimitra Panagou 2022-04-01T05:01:36Z 置信度 0.78 math.OCeess.SY
• Faster Consensus via a Sparser Controller
  In this paper, we investigate the architecture of an optimal controller that maximizes the convergence speed of a consensus protocol with single-integrator dynamics. Under the assumption that communication delays increase with the number of hops from which inf…
  arxiv Luca Ballotta, Vijay Gupta 2023-02-02T11:15:17Z 置信度 0.78 math.OCcs.DCeess.SY
• Bringing Quantum Systems under Control: A Tutorial Invitation to Quantum Computing and Its Relation to Bilinear Control Systems
  Quantum computing comes with the potential to push computational boundaries in various domains including, e.g., cryptography, simulation, optimization, and machine learning. Exploiting the principles of quantum mechanics, new algorithms can be developed with c…
  arxiv Julian Berberich, Robert L. Kosut, Thomas Schulte-Herbrüggen 2024-12-01T09:02:13Z 置信度 0.78 eess.SYmath.OC
• Individual risk in mean-field control models for decentralized control, with application to automated demand response
  Flexibility of energy consumption can be harnessed for the purposes of ancillary services in a large power grid. In prior work by the authors a randomized control architecture is introduced for individual loads for this purpose. In examples it is shown that th…
  arxiv Yue Chen, Ana Bušić, Sean Meyn 2014-09-24T13:15:11Z 置信度 0.78 math.OCeess.SY
• Passive iFIR Filters for Data-Driven Control
  We consider the design of a new class of passive iFIR controllers given by the parallel action of an integrator and a finite impulse response filter. iFIRs are more expressive than PID controllers but retain their features and simplicity. The paper provides a …
  arxiv Zixing Wang, Yongkang Huo, Fulvio Forni 2024-03-11T11:59:24Z 置信度 0.78 eess.SYcs.ROmath.OC
• Probabilistic design of optimal sequential decision-making algorithms in learning and control
  This survey is focused on certain sequential decision-making problems that involve optimizing over probability functions. We discuss the relevance of these problems for learning and control. The survey is organized around a framework that combines a problem fo…
  arxiv Emiland Garrabe, Giovanni Russo 2022-01-13T21:05:50Z 置信度 0.78 math.OCeess.SY
• Encrypted control for networked systems -- An illustrative introduction and current challenges
  Cloud computing and distributed computing are becoming ubiquitous in many modern control systems such as smart grids, building automation, robot swarms or intelligent transportation systems. Compared to "isolated" control systems, the advantages of cloud-based…
  arxiv M. Schulze Darup, A. B. Alexandru, D. E. Quevedo, G. J. Pappas 2020-10-01T09:19:30Z 置信度 0.78 eess.SYcs.CRmath.OC
• On the relationship between control barrier functions and projected dynamical systems
  In this paper, we study the relationship between systems controlled via Control Barrier Function (CBF) approaches and a class of discontinuous dynamical systems, called Projected Dynamical Systems (PDSs). In particular, under appropriate assumptions, we show t…
  arxiv Giannis Delimpaltadakis, W. P. M. H. Heemels 2023-09-08T15:20:56Z 置信度 0.78 eess.SYmath.OC
• Kernel-based error bounds of bilinear Koopman surrogate models for nonlinear data-driven control
  We derive novel deterministic bounds on the approximation error of data-based bilinear surrogate models for unknown nonlinear systems. The surrogate models are constructed using kernel-based extended dynamic mode decomposition to approximate the Koopman operat…
  arxiv Robin Strässer, Manuel Schaller, Julian Berberich, Karl Worthmann 等 2025-03-17T17:38:19Z 置信度 0.78 eess.SYmath.OC
• Feedback Optimization with State Constraints through Control Barrier Functions
  Recently, there has been a surge of research on a class of methods called feedback optimization. These are methods to steer the state of a control system to an equilibrium that arises as the solution of an optimization problem. Despite the growing literature o…
  arxiv Giannis Delimpaltadakis, Pol Mestres, Jorge Cortés, W. P. M. H. Heemels 2025-04-01T14:04:09Z 置信度 0.78 math.OCeess.SY
• Duality-based Convex Optimization for Real-time Obstacle Avoidance between Polytopes with Control Barrier Functions
  Developing controllers for obstacle avoidance between polytopes is a challenging and necessary problem for navigation in tight spaces. Traditional approaches can only formulate the obstacle avoidance problem as an offline optimization problem. To address these…
  arxiv Akshay Thirugnanam, Jun Zeng, Koushil Sreenath 2021-07-18T04:27:31Z 置信度 0.78 eess.SYcs.ROmath.OC
• Learning-Based Optimal Control with Performance Guarantees for Unknown Systems with Latent States
  As control engineering methods are applied to increasingly complex systems, data-driven approaches for system identification appear as a promising alternative to physics-based modeling. While the Bayesian approaches prevalent for safety-critical applications u…
  arxiv Robert Lefringhausen, Supitsana Srithasan, Armin Lederer, Sandra Hirche 2023-03-31T11:06:09Z 置信度 0.78 eess.SYcs.LGmath.OCstat.ML
• Quadratic Programming Approach to Flight Envelope Protection Using Control Barrier Functions
  Ensuring the safe operation of aerospace systems within their prescribed flight envelope is a fundamental requirement for modern flight control systems. Flight envelope protection (FEP) prevents violations of aerodynamic, structural, and performance constraint…
  arxiv Johannes Autenrieb 2025-04-26T15:23:39Z 置信度 0.78 eess.SY
• A Human-Vector Susceptible-Infected-Susceptible Model for Analyzing and Controlling the Spread of Vector-Borne Diseases
  We propose an epidemic model for the spread of vector-borne diseases. The model, which is built extending the classical susceptible-infected-susceptible model, accounts for two populations -- humans and vectors -- and for cross-contagion between the two specie…
  arxiv Lorenzo Zino, Alessandro Casu, Alessandro Rizzo 2025-10-16T15:19:15Z 置信度 0.78 eess.SYmath.OCq-bio.PE
• Optimal Control of Vehicular Formations with Nearest Neighbor Interactions
  We consider the design of optimal localized feedback gains for one-dimensional formations in which vehicles only use information from their immediate neighbors. The control objective is to enhance coherence of the formation by making it behave like a rigid lat…
  arxiv Fu Lin, Makan Fardad, Mihailo R. Jovanović 2011-12-18T03:41:13Z 置信度 0.78 math.OCcs.MAeess.SY
• Implicit predictors in regularized data-driven predictive control
  We introduce the notion of implicit predictors, which characterize the input-(state)-output prediction behavior underlying a predictive control scheme, even if it is not explicitly enforced as an equality constraint (as in traditional model or subspace predict…
  arxiv Manuel Klädtke, Moritz Schulze Darup 2023-07-20T10:24:33Z 置信度 0.78 eess.SYmath.OC
• Tube-based Robust Model Predictive Control for a Distributed Parameter System Modeled as a Polytopic LPV (extended version)
  Distributed parameter systems (DPS) are formulated as partial differential equations (PDE). Especially, under time-varying boundary conditions, PDE introduce force coupling. In the case of the flexible stacker crane (STC), nonlinear coupling is introduced. Acc…
  arxiv Joe Ismail, Steven Liu 2020-03-12T18:16:09Z 置信度 0.78 math.OCeess.SY
• Predictive control for nonlinear stochastic systems: Closed-loop guarantees with unbounded noise
  We present a stochastic model predictive control framework for nonlinear systems subject to unbounded process noise with closed-loop guarantees. First, we provide a conceptual shrinking-horizon framework that utilizes general probabilistic reachable sets and m…
  arxiv Johannes Köhler, Melanie N. Zeilinger 2024-07-18T08:09:31Z 置信度 0.78 eess.SYmath.OC
• Automatic crosswind flight of tethered wings for airborne wind energy: modeling, control design and experimental results
  An approach to control tethered wings for airborne wind energy is proposed. A fixed length of the lines is considered, and the aim of the control system is to obtain figure-eight crosswind trajectories. The proposed technique is based on the notion of the wing…
  arxiv Lorenzo Fagiano, Aldo U. Zgraggen, Manfred Morari, Mustafa Khammash 2013-01-06T22:12:56Z 置信度 0.78 eess.SYmath.OC
• H_2-Optimal Decentralized Control over Posets: A State-Space Solution for State-Feedback
  We develop a complete state-space solution to H_2-optimal decentralized control of poset-causal systems with state-feedback. Our solution is based on the exploitation of a key separability property of the problem, that enables an efficient computation of the o…
  arxiv Parikshit Shah, Pablo A. Parrilo 2011-11-07T07:27:22Z 置信度 0.78 math.OCeess.SY
• Control Barrier Functions in Sampled-Data Systems
  This paper presents conditions for ensuring forward invariance of safe sets under sampled-data system dynamics with piecewise-constant controllers and fixed time-steps. First, we introduce two different metrics to compare the conservativeness of sufficient con…
  arxiv Joseph Breeden, Kunal Garg, Dimitra Panagou 2021-03-05T13:56:19Z 置信度 0.78 math.OCeess.SY
• Continuous Approximations of Projected Dynamical Systems via Control Barrier Functions
  Projected Dynamical Systems (PDSs) form a class of discontinuous constrained dynamical systems, and have been used widely to solve optimization problems and variational inequalities. Recently, they have also gained significant attention for control purposes, s…
  arxiv Giannis Delimpaltadakis, Jorge Cortés, W. P. M. H. Heemels 2024-03-01T11:06:58Z 置信度 0.78 math.OCeess.SY
• Boundary Control of a Nonhomogeneous Flexible Wing with Bounded Input Disturbances
  This note deals with the boundary control problem of a nonhomogeneous flexible wing evolving under unsteady aerodynamic loads. The wing is actuated at its tip by flaps and is modeled by a distributed parameter system consisting of two coupled partial different…
  arxiv Hugo Lhachemi, David Saussié, Guchuan Zhu 2017-09-03T19:12:57Z 置信度 0.78 math.OCeess.SY
• Gaussian behaviors: representations and data-driven control
  We propose a modeling framework for stochastic systems, termed Gaussian behaviors, that describes finite-length trajectories of a system as a Gaussian process. The proposed model naturally quantifies the uncertainty in the trajectories, yet it is simple enough…
  arxiv András Sasfi, Ivan Markovsky, Alberto Padoan, Florian Dörfler 2025-04-22T12:31:10Z 置信度 0.78 eess.SYmath.OC
• Coalitional control: a bottom-up approach
  The recent major developments in information technologies have opened interesting possibilities for the effective management of multi-agent systems. In many cases, the important role of central control nodes can now be undertaken by several controllers in a di…
  arxiv Filiberto Fele, José M. Maestre, Eduardo F. Camacho 2025-01-29T12:42:38Z 置信度 0.78 eess.SYcs.GTmath.OC
• Cold-Tip Temperature Control of Space-borne SatelliteStirlingCryocooler: Mathematical Modeling and Control Investigation
  IR (Infra-Red) detectors are widely used in Space-borne remote sensing satellites. In order to achieve a high signal to noise ratio, the IR detectors need to be operated at cryogenic temperatures. Traditionally, the cryogenic cooling of these detectors is achi…
  arxiv Shaival H. Nagarsheth, Jiten H. Bhatt, Jayesh J. Barve 2019-05-27T14:10:12Z 置信度 0.78 math.OCeess.SY
• Passivity-based PI control of first-order systems with I/O communication delays: A complete sigma-stability analysis
  The PI control of first-order linear passive systems through a delayed communication channel is revisited in light of the relative stability concept called sigma-stability. Treating the delayed communication channel as a transport PDE, the passivity of the ove…
  arxiv Fernando Castaños, Edgar Estrada, Sabine Mondié, Adrián Ramírez 2015-07-04T21:28:00Z 置信度 0.78 math.OCeess.SY
• Safe Control for Nonlinear Systems Under Faults and Attacks Via Control Barrier Functions
  Safety is one of the most important properties of control systems. Sensor faults and attacks and actuator failures may cause errors in the sensor measurements and system dynamics, which leads to erroneous control inputs and hence safety violations. In this pap…
  arxiv Hongchao Zhang, Zhouchi Li, Andrew Clark 2022-07-11T19:24:44Z 置信度 0.78 eess.SY
• Control Barrier Function Based Design of Gradient Flows for Constrained Nonlinear Programming
  This paper considers the problem of designing a continuous-time dynamical system that solves a constrained nonlinear optimization problem and makes the feasible set forward invariant and asymptotically stable. The invariance of the feasible set makes the dynam…
  arxiv Ahmed Allibhoy, Jorge Cortés 2022-04-05T01:42:45Z 置信度 0.78 math.OCeess.SY
• Tailored Presolve Techniques in Branch-and-Bound Method for Fast Mixed-Integer Optimal Control Applications
  Mixed-integer model predictive control (MI-MPC) can be a powerful tool for modeling hybrid control systems. In case of a linear-quadratic objective in combination with linear or piecewise-linear system dynamics and inequality constraints, MI-MPC needs to solve…
  arxiv Rien Quirynen, Stefano Di Cairano 2022-11-23T04:41:04Z 置信度 0.78 math.OCeess.SY
• Sparse preconditioning for model predictive control
  We propose fast O(N) preconditioning, where N is the number of gridpoints on the prediction horizon, for iterative solution of (non)-linear systems appearing in model predictive control methods such as forward-difference Newton-Krylov methods. The Continuation…
  arxiv Andrew Knyazev, Alexander Malyshev 2015-12-01T18:24:56Z 置信度 0.78 math.OCeess.SY
• On the infeasibility of entanglement generation in Gaussian quantum systems via classical control
  This paper uses a system theoretic approach to show that classical linear time invariant controllers cannot generate steady state entanglement in a bipartite Gaussian quantum system which is initialized in a Gaussian state. The paper also shows that the use of…
  arxiv H. I. Nurdin, I. R. Petersen, M. R. James 2011-07-15T22:38:41Z 置信度 0.78 eess.SYmath.OCquant-ph
• Robust Control of Constrained Linear Systems using Online Convex Optimization and a Reference Governor
  This article develops a control method for linear time-invariant systems subject to time-varying and a priori unknown cost functions, that satisfies state and input constraints, and is robust to exogenous disturbances. To this end, we combine the online convex…
  arxiv Marko Nonhoff, Mohammad Taher Al Torshan, Matthias A. Müller 2026-01-30T16:44:06Z 置信度 0.78 eess.SYmath.OC
• A scheduling algorithm for networked control systems
  This paper deals with the design of scheduling logics for Networked Control Systems (NCSs) whose shared communication networks have limited capacity. We assume that among \(N\) plants, only \(M\:(< N)\) plants can communicate with their controllers at any t…
  arxiv Atreyee Kundu 2021-01-03T16:01:07Z 置信度 0.78 eess.SY
• Optimal design of PID controllers using the QFT method
  An optimisation algorithm is proposed for designing PID controllers, which minimises the asymptotic open-loop gain of a system, subject to appropriate robust- stability and performance QFT constraints. The algorithm is simple and can be used to automate the lo…
  arxiv A. C. Zolotas, G. D. Halikias 2012-11-23T13:09:05Z 置信度 0.78 eess.SYmath.OC
• Control of bilinear systems using gain-scheduling: Stability and performance guarantees
  In this paper, we present a state-feedback controller design method for bilinear systems. To this end, we write the bilinear system as a linear fractional representation by interpreting the state in the bilinearity as a structured uncertainty. Based on that, w…
  arxiv Robin Strässer, Julian Berberich, Frank Allgöwer 2023-04-10T09:50:56Z 置信度 0.78 eess.SYmath.OC
• Adaptive Control of Robot Manipulators With Uncertain Kinematics and Dynamics
  In this paper, we investigate the adaptive control problem for robot manipulators with both the uncertain kinematics and dynamics. We propose two adaptive control schemes to realize the objective of task-space trajectory tracking irrespective of the uncertain …
  arxiv Hanlei Wang 2014-03-20T17:13:31Z 置信度 0.78 eess.SYcs.ROmath.OC
• An online convex optimization algorithm for controlling linear systems with state and input constraints
  This paper studies the problem of controlling linear dynamical systems subject to point-wise-in-time constraints. We present an algorithm similar to online gradient descent, that can handle time-varying and a priori unknown convex cost functions while restrain…
  arxiv Marko Nonhoff, Matthias A. Müller 2020-05-22T17:53:56Z 置信度 0.78 math.OC
• Distributed Nonlinear Model Predictive Control and Metric Learning for Heterogeneous Vehicle Platooning with Cut-in/Cut-out Maneuvers
  Vehicle platooning has been shown to be quite fruitful in the transportation industry to enhance fuel economy, road throughput, and driving comfort. Model Predictive Control (MPC) is widely used in literature for platoon control to achieve certain objectives, …
  arxiv Mohammad Hossein Basiri, Benyamin Ghojogh, Nasser L. Azad, Sebastian Fischmeister 等 2020-04-01T13:11:08Z 置信度 0.78 math.OCeess.SY
• Distributed Optimal Secondary Frequency Control in Power Networks with Delay Independent Stability
  Distributed secondary frequency control for power systems, is a problem that has been extensively studied in the literature, and one of its key features is that an additional communication network is required to achieve optimal power allocation. Therefore, bei…
  arxiv Mengmou Li, Jeremy Watson, Ioannis Lestas 2022-08-20T14:14:18Z 置信度 0.78 math.OC
• Flight Control for UAV Loitering Over a Ground Target with Unknown Maneuver
  This paper proposes a flight controller for an unmanned aerial vehicle (UAV) to loiter over a ground moving target (GMT). We are concerned with the scenario that the stochastically time-varying maneuver of the GMT is unknown to the UAV, which renders it challe…
  arxiv Fei Dong, Keyou You, Jiaqi Zhang 2019-06-17T12:46:06Z 置信度 0.78 eess.SY
• Continuous-time q-learning for mean-field control with common noise, part-II: q-learning algorithms
  This paper is a continuation work of Ren et al. (2026) aiming to further devise q-learning algorithms for mean-field control (MFC) with controlled common noise. Based on the relaxed control formulation, we first establish the martingale condition of the value …
  arxiv Zhenjie Ren, Xiaoli Wei, Xiang Yu, Xun Yu Zhou 2026-04-30T03:41:00Z 置信度 0.78 math.OCcs.LGcs.MA
• Periodic optimal control of nonlinear constrained systems using economic model predictive control
  In this paper, we consider the problem of periodic optimal control of nonlinear systems subject to online changing and periodically time-varying economic performance measures using model predictive control (MPC). The proposed economic MPC scheme uses an online…
  arxiv Johannes Köhler, Matthias A. Müller, Frank Allgöwer 2020-05-11T16:37:47Z 置信度 0.78 eess.SYmath.OC
• Predictive Control of Autonomous Kites in Tow Test Experiments
  In this paper we present a model-based control approach for autonomous flight of kites for wind power generation. Predictive models are considered to compensate for delay in the kite dynamics. We apply Model Predictive Control (MPC), with the objective of guid…
  arxiv Tony A. Wood, Henrik Hesse, Roy S. Smith 2017-03-21T02:03:26Z 置信度 0.78 math.OC
• A Hybrid Algorithm for Iterative Adaptation of Feedforward Controllers: an Application on Electromechanical Switches
  Electromechanical switching devices such as relays, solenoid valves, and contactors offer several technical and economic advantages that make them widely used in industry. However, uncontrolled operations result in undesirable impact-related phenomena at the e…
  arxiv Eloy Serrano-Seco, Eduardo Moya-Lasheras, Edgar Ramirez-Laboreo 2024-03-23T15:56:56Z 置信度 0.78 eess.SY
• Efficient Implementation of Rate Constraints for Nonlinear Optimal Control
  We propose a general approach to directly implement rate constraints on the discretization mesh for all collocation methods, for both state and input variables. Unlike conventional approaches that may lead to singular control arcs, the solution of this on-mesh…
  arxiv Yuanbo Nie, Eric Kerrigan 2019-03-13T14:23:04Z 置信度 0.78 math.OCeess.SY
• Algorithms for Optimal Control with Fixed-Rate Feedback
  We consider a discrete-time linear quadratic Gaussian networked control setting where the (full information) observer and controller are separated by a fixed-rate noiseless channel. The minimal rate required to stabilize such a system has been well studied. Ho…
  arxiv Anatoly Khina, Yorie Nakahira, Yu Su, Hikmet Yıldız 等 2018-09-13T12:43:39Z 置信度 0.78 eess.SYcs.ITmath.OC
• Data-Driven Retrospective Cost Adaptive Control for Flight Control Application
  Unlike fixed-gain robust control, which trades off performance with modeling uncertainty, direct adaptive control uses partial modeling information for online tuning. The present paper combines retrospective cost adaptive control (RCAC), a direct adaptive cont…
  arxiv Syed Aseem Ul Islam, Tam W. Nguyen, Ilya V. Kolmanovsky, Dennis S. Bernstein 2021-02-14T16:39:03Z 置信度 0.78 eess.SY
• The Flight Physics Concept Inventory: Development of a research-based assessment instrument to enhance learning and teaching
  This work frames the first three publications around the development of the Flight Physics Concept Inventory (FliP-CoIn), and elaborates on many aspects in more detail. FliP-CoIn is a multiple-choice conceptual assessment instrument for improving fluid dynamic…
  arxiv Florian Genz 2025-04-23T17:21:25Z 置信度 0.78 physics.ed-phphysics.data-anphysics.flu-dyn
• Constructive Safety-Critical Control: Synthesizing Control Barrier Functions for Partially Feedback Linearizable Systems
  Certifying the safety of nonlinear systems, through the lens of set invariance and control barrier functions (CBFs), offers a powerful method for controller synthesis, provided a CBF can be constructed. This paper draws connections between partial feedback lin…
  arxiv Max H. Cohen, Ryan K. Cosner, Aaron D. Ames 2024-06-04T18:52:24Z 置信度 0.78 eess.SYcs.RO
• A Physics-Based Attack Detection Technique in Cyber-Physical Systems: A Model Predictive Control Co-Design Approach
  In this paper a novel approach to co-design controller and attack detector for nonlinear cyber-physical systems affected by false data injection (FDI) attack is proposed. We augment the model predictive controller with an additional constraint requiring the fu…
  arxiv Mohammadreza Chamanbaz, Fabrizio Dabbene, Roland Bouffanais 2019-10-08T01:42:13Z 置信度 0.78 eess.SYmath.OC
• A Neural Network Approach Applied to Multi-Agent Optimal Control
  We propose a neural network approach for solving high-dimensional optimal control problems. In particular, we focus on multi-agent control problems with obstacle and collision avoidance. These problems immediately become high-dimensional, even for moderate pha…
  arxiv Derek Onken, Levon Nurbekyan, Xingjian Li, Samy Wu Fung 等 2020-11-09T20:59:30Z 置信度 0.78 math.OC
• Robust Nonlinear Optimal Control via System Level Synthesis
  This paper addresses the problem of finite horizon constrained robust optimal control for nonlinear systems subject to norm-bounded disturbances. To this end, the underlying uncertain nonlinear system is decomposed based on a first-order Taylor series expansio…
  arxiv Antoine P. Leeman, Johannes Köhler, Andrea Zanelli, Samir Bennani 等 2023-01-12T11:31:07Z 置信度 0.78 math.OCeess.SY
• A distributed optimization-based approach for hierarchical model predictive control of large-scale systems with coupled dynamics and constraints
  We present a hierarchical model predictive control approach for large-scale systems based on dual decomposition. The proposed scheme allows coupling in both dynamics and constraints between the subsystems and generates a primal feasible solution within a finit…
  arxiv Minh Dang Doan, Tamás Keviczky, Bart De Schutter 2011-09-06T15:42:16Z 置信度 0.78 math.OCcs.MAeess.SY
• Equilibrium Selection in Replicator Equations Using Adaptive-Gain Control
  In this paper, we deal with the equilibrium selection problem, which amounts to steering a population of individuals engaged in strategic game-theoretic interactions to a desired collective behavior. In the literature, this problem has been typically tackled b…
  arxiv Lorenzo Zino, Mengbin Ye, Giuseppe Carlo Calafiore, Alessandro Rizzo 2024-07-12T14:40:03Z 置信度 0.78 eess.SYmath.DSmath.OC
• Feedback Refinement Relations for the Synthesis of Symbolic Controllers
  We present an abstraction and refinement methodology for the automated controller synthesis to enforce general predefined specifications. The designed controllers require quantized (or symbolic) state information only and can be interfaced with the system via …
  arxiv Gunther Reissig, Alexander Weber, Matthias Rungger 2015-03-12T13:45:10Z 置信度 0.78 math.OCcs.LOeess.SY
• Recursively feasible stochastic predictive control using an interpolating initial state constraint -- extended version
  We present a stochastic model predictive control (SMPC) framework for linear systems subject to possibly unbounded disturbances. State of the art SMPC approaches with closed-loop chance constraint satisfaction recursively initialize the nominal state based on …
  arxiv Johannes Köhler, Melanie N. Zeilinger 2022-03-02T12:54:39Z 置信度 0.78 eess.SYmath.OC
• A novel trajectory optimization algorithm for continuous-time model predictive control
  This article introduces a numerical algorithm that serves as a preliminary step toward solving continuous-time model predictive control (MPC) problems directly without explicit time-discretization. The chief ingredients of the underlying optimal control proble…
  arxiv Souvik Das, Siddhartha Ganguly, Muthyala Anjali, Debasish Chatterjee 2023-06-12T13:34:42Z 置信度 0.78 math.OCeess.SY
• Control Barrier Functions for Shared Control and Vehicle Safety
  This manuscript presents a control barrier function based approach to shared control for preventing a vehicle from entering the part of the state space where it is unrecoverable. The maximal phase recoverable ellipse is presented as a safe set in the sideslip …
  arxiv James Dallas, John Talbot, Makoto Suminaka, Michael Thompson 等 2025-03-25T18:23:56Z 置信度 0.78 eess.SY
• Robust reduced-order model predictive control using peak-to-peak analysis of filtered signals
  We address the design of a model predictive control (MPC) scheme for large-scale linear systems using reduced-order models (ROMs). Our approach uses a ROM, leverages tools from robust control, and integrates them into an MPC framework to achieve computational …
  arxiv Johannes Köhler, Carlo Scholz, Melanie Zeilinger 2025-11-04T21:14:54Z 置信度 0.78 eess.SYmath.OC
• Neural Contraction Metrics for Robust Estimation and Control: A Convex Optimization Approach
  This paper presents a new deep learning-based framework for robust nonlinear estimation and control using the concept of a Neural Contraction Metric (NCM). The NCM uses a deep long short-term memory recurrent neural network for a global approximation of an opt…
  arxiv Hiroyasu Tsukamoto, Soon-Jo Chung 2020-06-08T05:29:38Z 置信度 0.78 eess.SYcs.AIcs.LGcs.ROmath.OC
• Mechanical control systems on Lie algebroids
  This paper considers control systems defined on Lie algebroids. After deriving basic controllability tests for general control systems, we specialize our discussion to the class of mechanical control systems on Lie algebroids. This class of systems includes me…
  arxiv Jorge Cortes, Eduardo Martinez 2004-02-26T17:00:59Z 置信度 0.78 math.OCmath.DG
• Fast and accurate method for computing non-smooth solutions to constrained control problems
  Introducing flexibility in the time-discretisation mesh can improve convergence and computational time when solving differential equations numerically, particularly when the solutions are discontinuous, as commonly found in control problems with constraints. S…
  arxiv Lucian Nita, Eduardo M. G. Vila, Marta A. Zagorowska, Eric C. Kerrigan 等 2022-05-17T20:12:31Z 置信度 0.78 math.OCeess.SY
• Load Limiting Control for Component Life Extension
  This paper presents the development of a novel life-extending control scheme for critical helicopter components subjected to significant fatigue loading. The primary objective is to synthesize a more efficient and less conservative life-extending control schem…
  arxiv Chams Eddine Mballo, Robert Walters, Jonnalagadda V. R. Prasad 2025-06-29T15:45:06Z 置信度 0.78 eess.SY
• A Primal-Dual Method for Optimal Control and Trajectory Generation in High-Dimensional Systems
  Presented is a method for efficient computation of the Hamilton-Jacobi (HJ) equation for time-optimal control problems using the generalized Hopf formula. Typically, numerical methods to solve the HJ equation rely on a discrete grid of the solution space and e…
  arxiv Matthew R. Kirchner, Gary Hewer, Jerome Darbon, Stanley Osher 2017-12-21T21:48:01Z 置信度 0.78 eess.SYmath.OC
• An overview of Koopman-based control: From error bounds to closed-loop guarantees
  Controlling nonlinear dynamical systems remains a central challenge in a wide range of applications, particularly when accurate first-principle models are unavailable. Data-driven approaches offer a promising alternative by designing controllers directly from …
  arxiv Robin Strässer, Karl Worthmann, Igor Mezić, Julian Berberich 等 2025-09-02T21:08:28Z 置信度 0.78 eess.SY
• Abstracting the Sampling Behaviour of Stochastic Linear Periodic Event-Triggered Control Systems
  Recently, there have been efforts towards understanding the sampling behaviour of event-triggered control (ETC), for obtaining metrics on its sampling performance and predicting its sampling patterns. Finite-state abstractions, capturing the sampling behaviour…
  arxiv Giannis Delimpaltadakis, Luca Laurenti, Manuel Mazo 2021-03-25T13:45:09Z 置信度 0.78 eess.SYmath.OC
• Optimal control of the transmission rate in compartmental epidemics
  We introduce a general system of ordinary differential equations that includes some classical and recent models for the epidemic spread in a closed population without vital dynamic in a finite time horizon. The model is vectorial, in the sense that it accounts…
  arxiv Lorenzo Freddi 2020-07-01T08:24:39Z 置信度 0.78 math.OC
• A Tricycle Model to Accurately Control an Autonomous Racecar with Locked Differential
  In this paper, we present a novel formulation to model the effects of a locked differential on the lateral dynamics of an autonomous open-wheel racecar. The model is used in a Model Predictive Controller in which we included a micro-steps discretization approa…
  arxiv Ayoub Raji, Nicola Musiu, Alessandro Toschi, Francesco Prignoli 等 2023-12-22T16:29:55Z 置信度 0.78 eess.SYcs.AIcs.ROmath.OC
• An Integrated Mechanical Intelligence and Control Approach Towards Flight Control of Aerobat
  Our goal in this work is to expand the theory and practice of robot locomotion by addressing critical challenges associated with the robotic biomimicry of bat aerial locomotion. Bats are known for their pronounced, fast wing articulations, e.g., bats can mobil…
  arxiv Eric Sihite, Atefe Darabi, Pravin Dangol, Andrew Lessieur 等 2021-03-29T20:55:22Z 置信度 0.78 cs.ROeess.SY
• Identification of nonlinear controllers from data: theory and computation
  This manuscript contains technical details and proofs of recent results developed by the authors, pertaining to the design of nonlinear controllers from the experimental data measured on an existing feedback control system.
  arxiv Lorenzo Fagiano, Carlo Novara 2013-09-06T09:21:56Z 置信度 0.78 eess.SYmath.DSmath.OC
• Linearly Solvable Stochastic Control Lyapunov Functions
  This paper presents a new method for synthesizing stochastic control Lyapunov functions for a class of nonlinear stochastic control systems. The technique relies on a transformation of the classical nonlinear Hamilton-Jacobi-Bellman partial differential equati…
  arxiv Yoke Peng Leong, Matanya B. Horowitz, Joel W. Burdick 2014-10-01T22:49:18Z 置信度 0.78 math.OC
• Current trends and future directions in event-based control
  The defining characteristic of event-based control is that feedback loops are only closed when indicated by a triggering condition that takes recent information about the system into account. This stands in contrast to periodic control where the feedback loop …
  arxiv Michael Hertneck, David Meister, Frank Allgöwer 2025-05-28T14:06:32Z 置信度 0.78 eess.SY
• Neural Network-based Flight Control Systems: Present and Future
  As the first review in this field, this paper presents an in-depth mathematical view of Intelligent Flight Control Systems (IFCSs), particularly those based on artificial neural networks. The rapid evolution of IFCSs in the last two decades in both the methodo…
  arxiv Seyyed Ali Emami, Paolo Castaldi, Afshin Banazadeh 2022-06-11T19:42:35Z 置信度 0.78 eess.SY
• Feasibility Governor for Linear Model Predictive Control
  This paper introduces the Feasibility Governor (FG): an add-on unit that enlarges the region of attraction of Model Predictive Control by manipulating the reference to ensure that the underlying optimal control problem remains feasible. The FG is developed for…
  arxiv Terrence Skibik, Dominic Liao-McPherson, Torbjørn Cunis, Ilya Kolmanovsky 等 2021-03-08T22:50:18Z 置信度 0.78 math.OC
• Dynamic Switching Models for Truck-only Delivery and Drone-assisted Truck Delivery under Demand Uncertainty
  Integrating drones into truck delivery systems can improve customer accessibility, reduce operational costs, and increase delivery efficiency. However, drone deployment incurs costs, including procurement, maintenance, and energy consumption, and its benefits …
  arxiv Jiaqing Lu, Qianwen Guo, Dian Sheng, Shumin Chen 等 2025-08-22T02:54:53Z 置信度 0.78 eess.SY
• Using Deep Networks for Drone Detection
  Drone detection is the problem of finding the smallest rectangle that encloses the drone(s) in a video sequence. In this study, we propose a solution using an end-to-end object detection model based on convolutional neural networks. To solve the scarce data pr…
  arxiv Cemal Aker, Sinan Kalkan 2017-06-18T20:50:56Z 置信度 0.78 cs.CV
• The Urban Last Mile Problem: Autonomous Drone Delivery to Your Balcony
  Drone delivery has been a hot topic in the industry in the past few years. However, existing approaches either focus on rural areas or rely on centralized drop-off locations from where the last mile delivery is performed. In this paper we tackle the problem of…
  arxiv Gino Brunner, Bence Szebedy, Simon Tanner, Roger Wattenhofer 2018-09-21T10:29:30Z 置信度 0.78 cs.ROeess.SY
• Privadome: Protecting Citizen Privacy from Delivery Drones
  As e-commerce companies begin to consider using delivery drones for customer fulfillment, there are growing concerns around citizen privacy. Drones are equipped with cameras, and the video feed from these cameras is often required as part of routine navigation…
  arxiv Gokulnath Pillai, Eikansh Gupta, Ajith Suresh, Vinod Ganapathy 等 2022-05-10T15:22:52Z 置信度 0.78 cs.CR
• An Integrated Framework for Sensing Radio Frequency Spectrum Attacks on Medical Delivery Drones
  Drone susceptibility to jamming or spoofing attacks of GPS, RF, Wi-Fi, and operator signals presents a danger to future medical delivery systems. A detection framework capable of sensing attacks on drones could provide the capability for active responses. The …
  arxiv Philip H. Kulp, Nagi Mei 2020-05-04T14:13:35Z 置信度 0.78 cs.CYcs.CRcs.NIcs.RO
• SyncGait: Robust Long-Distance Authentication for Drone Delivery via Implicit Gait Behaviors
  In recent years, drone delivery, which utilizes unmanned aerial vehicles (UAVs) for package delivery and pickup, has gradually emerged as a crucial method in logistics. Since delivery drones are expensive and may carry valuable packages, they must maintain a s…
  arxiv Zijian Ling, Man Zhou, Hongda Zhai, Yating Huang 等 2025-12-29T13:31:24Z 置信度 0.78 cs.CRcs.MM
• Dynamic Resource Management for Providing QoS in Drone Delivery Systems
  Drones have been considered as an alternative means of package delivery to reduce the delivery cost and time. Due to the battery limitations, the drones are best suited for last-mile delivery, i.e., the delivery from the package distribution centers (PDCs) to …
  arxiv Behzad Khamidehi, Majid Raeis, Elvino S. Sousa 2021-03-06T03:11:07Z 置信度 0.78 cs.ROcs.LGcs.MAmath.OC