IEEE Transactions on Automatic Control

最新文章

• Event-Triggered Sliding Mode Control for 2-D FMII Systems Under Bounded Direction Round-Robin Protocol AI翻译
  作者：Lv, Xinyu; Niu, Yugang; Lam, James
  作者单位：East China University of Science & Technology; University of Hong Kong
  摘要：In this article, under limited communication resources, the sliding mode control problem is investigated for 2-D the second Fornasini-Marchesini systems with one finite-interval direction. A two-index-based event-triggered scheme is proposed to avert unnecessary signal transmissions from sensors to the controller. According to the finite-interval bound and the previous access node, a channel scheduling mechanism is established to periodically orchestrate the communication between controller an...
• Switching of Asymptotically Stable and Uniformly Ultimately Bounded Systems With Applications to Machine Vision AI翻译
  作者：Rotithor, Ghananeel; Taplin, Tyler; Dani, Ashwin P.; Dixon, Warren E.
  作者单位：University of Connecticut; State University System of Florida; University of Florida
  摘要：This article addresses the stability of switching between a uniformly ultimately bounded (UUB) system and an asymptotically stable system with asymptotically decaying perturbation using multiple Lyapunov functions. It is proven that the switched system trajectories remain UUB if an average dwell time condition is satisfied, and the perturbation terms are bounded with a sufficiently small magnitude. The developed switched system stability results are applied to the state estimation of the persp...
• Event-Triggered Consensus of Multiagent Systems With Prescribed Performance AI翻译
  作者：Hu, Wenfeng; Hou, Yahui; Chen, Zhiyong; Yang, Chunhua; Gui, Weihua
  作者单位：Central South University; University of Newcastle
  摘要：In this article, we address the event-triggered consensus problem for single-integrator multiagent systems by introducing a novel nonlinear control protocol. With the proposed consensus protocol, convergence with prescribed transient performance of the closed-loop system can be guaranteed while control execution is triggered by a delicately designed edge-based event-triggering mechanism. The protocol also ensures that no agent exhibits Zeno behavior. Moreover, the method can be extended to the...
• Optimal Control of Multi-Agent Systems With Processing Delays AI翻译
  作者：Kashyap, Mruganka; Lessard, Laurent
  作者单位：Northeastern University; Northeastern University
  摘要：In this article, we consider a cooperative control problem involving a heterogeneous network of dynamically decoupled continuous-time linear plants. The (output-feedback) controllers for each plant may communicate with each other according to a fixed and known transitively closed directed graph. Each transmission incurs a fixed and known time delay. We provide an explicit closed-form expression for the optimal decentralized controller and its associated cost under these communication constrain...
• Event-Triggered Finite-Dimensional Observer-Based Output Feedback Stabilization of Reaction-Diffusion PDEs AI翻译
  作者：Lhachemi, Hugo
  作者单位：Universite Paris Saclay; Centre National de la Recherche Scientifique (CNRS)
  摘要：This article addresses the topic of event-triggered output feedback stabilization of reaction-diffusion partial differential equations (PDEs). The control applies at the boundary while the output is distributed. The control strategy consists of a finite-dimensional controller augmented with an adequate event-triggered mechanism. This event-triggered mechanism dictates the time instants at which the applied control input needs to be updated based on the occurrence of specific events monitored b...
• Controlled Invariant Sets: Implicit Closed-Form Representations and Applications AI翻译
  作者：Anevlavis, Tzanis; Liu, Zexiang; Ozay, Necmiye; Tabuada, Paulo
  作者单位：University of California System; University of California Los Angeles; University of Michigan System; University of Michigan
  摘要：In this article, we revisit the problem of computing (robust) controlled invariant sets for discrete-time linear systems. Departing from previous approaches, we consider implicit, rather than explicit, representations for controlled invariant sets. Moreover, by considering such representations in the space of states and finite input sequences we obtain closed-form expressions for controlled invariant sets. An immediate advantage is the ability to handle high-dimensional systems since the close...
• Control-Barrier-Function-Based Design of Gradient Flows for Constrained Nonlinear Programming AI翻译
  作者：Allibhoy, Ahmed; Cortes, Jorge
  作者单位：University of California System; University of California San Diego
  摘要：This article 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 dynamics anytime, when viewed as an algorithm, meaning it returns a feasible solution regardless of when it is terminated. Our approach augments the gradient flow of the objective function with inputs defined by the constraint functions, tre...
• Generalized Multikernel Maximum Correntropy Kalman Filter for Disturbance Estimation AI翻译
  作者：Li, Shilei; Shi, Dawei; Lou, Yunjiang; Zou, Wulin; Shi, Ling
  作者单位：Hong Kong University of Science & Technology; Beijing Institute of Technology; Harbin Institute of Technology
  摘要：Disturbance observers have been attracting continuing research efforts and are widely used in many applications. Among them, the Kalman filter-based disturbance observer is an attractive one since it estimates both the state and the disturbance simultaneously, and is optimal for a linear system with Gaussian noises. Unfortunately, the noise in the disturbance channel typically exhibits a heavy-tailed distribution because the nominal disturbance dynamics usually do not align with the practical ...
• An LMI-Based Robust Nonlinear Adaptive Observer for Disturbed Regression Models AI翻译
  作者：Rios, Hector; de Loza, Alejandra Ferreira; Efimov, Denis; Franco, Roberto
  作者单位：Universite de Lille; Centre National de la Recherche Scientifique (CNRS); Inria
  摘要：This article deals with the problem of time-varying parameter identification in dynamical regression models affected by disturbances. The disturbances comprise time-dependent external perturbations and nonlinear unmodeled dynamics. With this aim in mind, we propose a robust nonlinear adaptive observer. The algorithm ensures the asymptotic convergence of the parameter identification error to an acceptably small region around the origin in the presence of disturbances. The synthesis of the adapt...
• A Hitting Time Analysis for Stochastic Time-Varying Functions With Applications to Adversarial Attacks on Computation of Markov Decision Processes AI翻译
  作者：Yekkehkhany, Ali; Feng, Han; Ying, Donghao; Lavaei, Javad
  作者单位：University of California System; University of California Berkeley
  摘要：Stochastic time-varying optimization is an integral part of learning in which the shape of the function changes over time in a nondeterministic manner. This article considers multiple models of stochastic time variation and analyzes the corresponding notion of hitting time for each model, i.e., the period after which optimizing the stochastic time-varying function reveals informative statistics on the optimization of the target function. The studied models of time variation are motivated by ad...