IEEE Transactions on Automatic Control

最新文章

• Value Iteration for Continuous-Time Linear Time-Invariant Systems AI翻译
  作者：Possieri, Corrado; Sassano, Mario
  作者单位：University of Rome Tor Vergata; Consiglio Nazionale delle Ricerche (CNR)
  摘要：Two data-driven strategies for value iteration in linear quadratic optimal control problems over an infinite horizon are proposed. The two architectures share common features, since they both consist of a purely continuous-time control architecture and are based on the forward integration of the differential Riccati equation (DRE). They profoundly differ, instead, in the estimation mechanism of the vector field of the underlying DRE from collected data: The first relies on a characterization o...
• A New Lyapunov-Based Event-Triggered Control of Linear Systems AI翻译
  作者：Ghodrat, Mohsen; Marquez, Horacio J. J.
  作者单位：University of Alberta
  摘要：This article introduces a new Lyapunov sampling for event-triggered linear systems. Contrary to the majority of the existing literature, our proposed event-triggering mechanism (ETM) directly deals with the Lyapunov derivative rather than its upper bounds. Moreover, a new concept of ideality is introduced, which serves as a measure of conservativity of the triggering mechanism during the stability regions of trajectories. To construct the ETM, we employ a diagonal transformation to facilitate ...
• Fixed-Time Nash Equilibrium Seeking in Time-Varying Networks AI翻译
  作者：Poveda, Jorge I.; Krstic, Miroslav; Basar, Tamer
  作者单位：University of Colorado System; University of Colorado Boulder; University of California System; University of California San Diego; University of California System; University of California San Diego; University of Illinois System; University of Illinois Urbana-Champaign
  摘要：In this article, we introduce first-order and zeroth-order Nash equilibrium seeking dynamics with fixed-time and practical fixed-time convergence certificates for noncooperative games having finitely many players. The first-order algorithms achieve exact convergence to the Nash equilibrium of the game in a finite time that can be additionally upper bounded by a constant that is independent of the initial conditions of the actions of the players. Moreover, these fixed-time bounds can be prescri...
• Robustness of Learning in Games With Heterogeneous Players AI翻译
  作者：Akbar, Aqsa Shehzadi; Jaleel, Hassan; Abbas, Waseem; Shamma, Jeff S.
  作者单位：University of Texas System; University of Texas Dallas; University of Illinois System; University of Illinois Urbana-Champaign
  摘要：We consider stochastic learning dynamics in games and present a novel notion of robustness to heterogeneous players for a stochastically stable action profile. A standard assumption in these dynamics is that all the players are homogeneous, and their decision strategies can be modeled as perturbed versions of myopic best or better response strategies. We relax this assumption and propose a robustness criteria, which characterizes a stochastically stable action profile as robust to heterogeneou...
• Solution Algorithms for the Bounded Acceleration Shortest Path Problem AI翻译
  作者：Ardizzoni, Stefano; Consolini, Luca; Laurini, Mattia; Locatelli, Marco
  作者单位：University of Parma
  摘要：The purpose of this article is to introduce and characterize the bounded acceleration shortest path problem (BASP), a generalization of the shortest path problem (SP). This problem is associated to a graph: nodes represent positions of a mobile vehicle and arcs are associated to preassigned geometric paths that connect these positions. The BASP consists in finding the minimum-time path between two nodes. Differently from the SP, the vehicle has to satisfy bounds on maximum and minimum accelera...
• On the Semidecidability of the Remote State Estimation Problem AI翻译
  作者：Boche, Holger; Boeck, Yannik N.; Deppe, Christian
  作者单位：Technical University of Munich; Technical University of Munich
  摘要：In this article, we consider the decision problem associated with the task of remotely estimating the state of a dynamic plant via a noisy communication channel. Given a machine-readable description of the plant's and channel's characteristics, does there exist an algorithm that decides whether remote state estimation is possible? From an analytic point of view, this problem has been shown to involve the zero-error capacity of the communication channel. By applying results from Turing machine ...
• Secure Control Design for Networked Control Systems With Nonlinear Dynamics Under Time-Delay-Switch Attacks AI翻译
  作者：Sargolzaei, Arman; Zegers, Federico M.; Abbaspour, Alireza; Crane, Carl D.; Dixon, Warren E.
  作者单位：Tennessee Technological University; State University System of Florida; University of Florida
  摘要：A continuous controller is developed for a centralized network control system (NCS), which is composed of agents with nonlinear dynamics subject to a time-delay-switch (TDS) attack and additive disturbances. Since the state tracking error is unmeasurable during TDS attacks, controllers cannot use the state tracking error to coordinate the NCS. Therefore, a novel error signal is designed to address this unique challenge and enable the NCS to achieve a formation control objective. Furthermore, a...
• Control Barriers in Bayesian Learning of System Dynamics AI翻译
  作者：Dhiman, Vikas; Khojasteh, Mohammad Javad; Franceschetti, Massimo; Atanasov, Nikolay
  作者单位：University of Maine System; University of Maine Orono; Massachusetts Institute of Technology (MIT); University of California System; University of California San Diego
  摘要：This article focuses on learning a model of system dynamics online, while satisfying safety constraints. Our objective is to avoid offline system identification or hand-specified models and allow a system to safely and autonomously estimate and adapt its own model during operation. Given streaming observations of the system state, we use Bayesian learning to obtain a distribution over the system dynamics. Specifically, we propose a new matrix variate Gaussian process (MVGP) regression approach...
• Computing Robust Forward Invariant Sets of Multidimensional Nonlinear Systems via Geometric Deformation of Polytopes AI翻译
  作者：Ameen, Taha; Mukhopadhyay, Shayok; Qaddoumi, Nasser
  作者单位：University of Illinois System; University of Illinois Urbana-Champaign; University New Haven; American University of Sharjah
  摘要：This article develops an algorithm to compute the sequences of polytopic robust forward invariant sets (RFIS) that vary in size for a nonlinear dynamical system. This is done through a novel approach that geometrically deforms a polytope into an invariant set using a sequence of homeomorphisms, based on an invariance condition that only needs to be satisfied at a finite set of test points. A fast computational test is also developed to check if a given polytopic set is an RFIS. Our approach is...
• Output Feedback MPC for Nonlinear System in Large Operation Range AI翻译
  作者：Hu, Jianchen; Ding, Baocang
  作者单位：Xi'an Jiaotong University; Chongqing University of Posts & Telecommunications
  摘要：This article studies the output feedback model predictive control (MPC) being suitable to a large operation range of the constrained system represented by a nonlinear model with a bounded disturbance. The model is further parameterized as a multiple linear parameter varying (LPV) state-space equation, each LPV representation being valid around an exclusive equilibrium. Offline, for each equilibrium, a set of local control laws (in the dynamic output feedback), each having its region of attract...