IEEE Transactions on Automatic Control

最新文章

• A Proximal Dynamic Approach to Equilibrium Problems With Finite-Time Convergence AI翻译
  作者：Ju, Xingxing; Li, Chuandong; He, Xing; Feng, Gang
  作者单位：Southwest University - China; City University of Hong Kong
  摘要：This article proposes a finite-time converging proximal dynamic model (FPD) to deal with equilibrium problems. A distinctive feature of the FPD is its fast and finite-time convergence, in contrast to conventional proximal dynamic methods. It is shown that the solution of the proposed FPD converges to the solution of the corresponding equilibrium problems in finite-time under some mild conditions. Then the proposed FPD is applied to solve problems of nonsmooth composite optimization and absolut...
• Low-Complexity Control With Funnel Performance for Uncertain Nonlinear Multiagent Systems AI翻译
  作者：Min, Xiao; Baldi, Simone; Yu, Wenwu; Cao, Jinde
  作者单位：Southeast University - China; Yonsei University
  摘要：A low-complexity funnel controller is presented for high-order nonlinear multiagent systems with unknown dynamics. The term low-complexity is used in the literature for controllers based on memoryless nonlinear feedback, with no function approximation to estimate the unknown dynamics. Compared with existing low-complexity controllers, this work reduces the nonlinear terms in the memoryless feedback, which requires a dedicated stability analysis. A comparative numerical study further illustrate...
• Robust Cooperative Output Regulation for Networks of Hyperbolic PIDE-ODE Systems AI翻译
  作者：Gabriel, Jakob; Deutscher, Joachim
  作者单位：Ulm University
  摘要：In this article, the robust cooperative output regulation problem for multiagent systems (MASs) with general heterodirectional hyperbolic PIDE-ODE agents is considered. This setup also covers networks of ODEs with arbitrarily long input and output delays. The output of the agents can be defined at all boundaries and in-domain and may depend on the ODE state while disturbances act on the agents in-domain, at the boundaries, the output, and the ODE. The communication network is described by a co...
• Generic Stability Implication From Full Information Estimation to Moving-Horizon Estimation AI翻译
  作者：Hu, Wuhua
  摘要：Optimization-based state estimation is useful for handling of constrained linear or nonlinear dynamical systems. It has an ideal form, known as full information estimation (FIE), which uses all past measurements to perform state estimation, and also a practical counterpart, known as moving-horizon estimation (MHE), which uses most recent measurements of a limited length to perform the estimation. This work reveals a generic link from robust stability of FIE to that of MHE, showing that the for...
• Duality for Nonlinear Filtering I: Observability AI翻译
  作者：Kim, Jin W.; Mehta, Prashant G.
  作者单位：University of Illinois System; University of Illinois Urbana-Champaign; University of Potsdam; University of Illinois System; University of Illinois Urbana-Champaign; University of Illinois System; University of Illinois Urbana-Champaign
  摘要：This article is concerned with the development and use of duality theory for a hidden Markov model (HMM) with white noise observations. The main contribution of this work is to introduce a backward stochastic differential equation as a dual control system. A key outcome is that stochastic observability (resp. detectability) of the HMM is expressed in dual terms: as controllability (resp. stabilizability) of the dual control system. All aspects of controllability, namely, definition of controll...
• Distributed Optimization With Global Constraints Using Noisy Measurements AI翻译
  作者：Mai, Van Sy; La, Richard J.; Zhang, Tao; Battou, Abdella
  作者单位：National Institute of Standards & Technology (NIST) - USA; University System of Maryland; University of Maryland College Park
  摘要：We propose a new distributed optimization algorithm for solving a class of constrained optimization problems in which the objective function is separable (i.e., the sum of local objective functions of agents), the optimization variables of distributed agents, which are subject to nontrivial local constraints, are coupled by global constraints, and only noisy observations are available to estimate (the gradients of) local objective functions. In many practical scenarios, agents may not be willi...
• Resilient Multiagent Reinforcement Learning With Function Approximation AI翻译
  作者：Ye, Lintao; Figura, Martin; Lin, Yixuan; Pal, Mainak; Das, Pranoy; Liu, Ji; Gupta, Vijay
  作者单位：Huazhong University of Science & Technology; Huazhong University of Science & Technology; State University of New York (SUNY) System; Stony Brook University; Purdue University System; Purdue University; State University of New York (SUNY) System; Stony Brook University
  摘要：Adversarial attacks during training can strongly influence the performance of multiagent reinforcement learning algorithms. It is, thus, highly desirable to augment existing algorithms such that the impact of adversarial attacks on cooperative networks is at least bounded. We consider a fully decentralized network, where each agent receives a local reward and observes the global state and action. We propose a resilient consensus-based actor-critic algorithm, whereby each agent estimates the te...
• Collisions-Free Distributed Cooperative Output Regulation of Nonlinear Multiagent Systems AI翻译
  作者：An, Liwei; Yang, Guang-Hong
  作者单位：Northeastern University - China; Northeastern University - China
  摘要：This article studies the problem of collision/obstacle avoidance in the distributed cooperative output regulation of nonlinear multiagent systems (MASs). First, a nonlinear distributed command governor equipped by two dynamical barrier functions is constructed to generate safe command signals. Then, a filtering-based distributed command tracking control scheme is proposed. It is shown that the MAS adaptively reconfigures its formation shape in a distributed way when entering into the barrier f...
• Cooperative Output Regulation for Continuous-Time Linear Periodic Systems AI翻译
  作者：Fu, Chengcheng; Zhang, Hao; Huang, Chao; Wang, Zhuping; Yan, Huaicheng
  作者单位：Tongji University; Tongji University; East China University of Science & Technology
  摘要：This note investigates the cooperative output regulation problem for linear periodically time-varying systems. The problem is divided into two subproblems: solving periodic differential Sylvester equations (PDSEs) and designing a suitable time-varying distributed controller to stabilize an augmented multiagent system. First, the solvability of the PDSEs is discussed under an observability condition. Then, a dynamic output-feedback controller based on the internal model principle is proposed, w...
• Performance Bounds for Quantum Feedback Control AI翻译
  作者：Holtorf, Flemming; Schafer, Frank; Arnold, Julian; Rackauckas, Christopher V.; Edelman, Alan
  作者单位：Massachusetts Institute of Technology (MIT); Massachusetts Institute of Technology (MIT); University of Basel
  摘要：The limits of quantum feedback control have immediate consequences for quantum information science at large, yet remain largely unexplored. Here, we combine quantum filtering theory and moment-sum-of-squares techniques to construct a hierarchy of convex optimization problems that furnish monotonically improving, computable bounds on the best attainable performance for a broad class of quantum feedback control problems. These bounds may serve as witnesses of fundamental limitations, optimality ...