IEEE Transactions on Automatic Control

最新文章

• Theoretical Relationship of Set-Based Robust State Estimators: An Optimality Perspective AI翻译
  作者：Fan, Yidian; Xu, Feng
  作者单位：Tsinghua University; Tsinghua Shenzhen International Graduate School
  摘要：This article establishes a mathematical framework for discrete-time linear time-invariant systems to compare the optimal state estimation performance of the set-membership estimator, set-valued observer, and interval observer in the polytopic representation. First, the ability of observer gains in reducing the conservatism of state estimation sets is characterized by the support function. Second, the optimal estimation results given by the set-valued and interval observers are derived rigorous...
• Singular-Perturbations-Based Analysis of Dynamic Consensus in Directed Networks of Heterogeneous Nonlinear Systems AI翻译
  作者：Maghenem, Mohamed; Panteley, Elena; Loria, Antonio
  作者单位：Communaute Universite Grenoble Alpes; Institut National Polytechnique de Grenoble; Universite Grenoble Alpes (UGA); Centre National de la Recherche Scientifique (CNRS); Centre National de la Recherche Scientifique (CNRS); Universite Paris Saclay
  摘要：We investigate conditions under which heterogeneous nonlinear systems, interconnected over a directed static network, may achieve synchrony. Due to the network's heterogeneity, complete synchronization is impossible in general, but an emergent dynamics arises. This may be characterized by two dynamical systems evolving in two timescales. The first, which is slow, corresponds to the dynamics of the network on the synchronization manifold. The second, which is fast, corresponds to that of the sy...
• Data-Driven System Analysis of Nonlinear Systems Using Polynomial Approximation AI翻译
  作者：Martin, Tim; Allgoewer, Frank
  作者单位：University of Stuttgart
  摘要：In the context of data-driven control of nonlinear systems, many approaches lack of rigorous guarantees, call for nonconvex optimization, or require knowledge of a function basis containing the system dynamics. To tackle these drawbacks, we establish a polynomial representation of nonlinear functions based on a polynomial sector by Taylor's theorem and a set-membership for Taylor polynomials. The latter is obtained from finite noisy samples. By incorporating the measurement noise, the error of...
• Low-Computational-Complexity Zeroing Neural Network Model for Solving Systems of Dynamic Nonlinear Equations AI翻译
  作者：Zheng, Kangze; Li, Shuai; Zhang, Yunong
  作者单位：Sun Yat Sen University; University of Oulu; VTT Technical Research Center Finland
  摘要：Nonlinear equation systems are ubiquitous in a variety of fields, and how to tackle them has drawn much attention, especially dynamic ones. As a particular class of recurrent neural network, the zeroing neural network (ZNN) takes time-derivative information into consideration, and thus, is a competent approach to dealing with dynamic problems. Hitherto, two kinds of ZNN models have been developed for solving systems of dynamic nonlinear equations. One of them is explicit, involving the computa...
• A Second-Order Generalization of TC and DC Kernels AI翻译
  作者：Zorzi, Mattia
  作者单位：University of Padua
  摘要：Kernel-based methods have been successfully introduced in system identification to estimate the impulse response of a linear system. Adopting the Bayesian viewpoint, the impulse response is modeled as a zero mean Gaussian process whose covariance function (kernel) is estimated from the data. The most popular kernels used in system identification are the tuned-correlated (TC), the diagonal-correlated (DC) and the stable spline (SS) kernel. TC and DC kernels admit a closed-form factorization of ...
• Distributed Optimal Control With Recovered Robustness for Uncertain Network Systems: A Complementary Design Approach AI翻译
  作者：Li, Zhongkui; Jiao, Junjie; Chen, Xiang
  作者单位：Peking University; Technical University of Munich; University of Windsor
  摘要：This paper considers the distributed robust suboptimal consensus control problem of linear multi-agent systems, with both H-2 and H-infinity performance requirements. A novel two-step complementary design approach is proposed. In the first step, a distributed control law is designed for the nominal multi-agent system to achieve consensus with a prescribed H-2 performance. In the second step, an extra control input, depending on some carefully chosen residual signals indicating the modeling mis...
• Optimal Fault Detection for Stochastic Linear Time-Varying Systems by χ2 Test AI翻译
  作者：Niu, Yichun; Sheng, Li; Gao, Ming; Zhou, Donghua
  作者单位：China University of Petroleum; Shandong University of Science & Technology
  摘要：This article is concerned with the problem of fault detection (FD) for stochastic linear time-varying systems. The unified framework of the residual generator is constructed by using all currently available inputs and outputs, which can describe the existing observer-based methods and the parity space method. Then, the chi(2) test is introduced to evaluate the multivariate residual. In this article, the fault detector is said to be optimal if the missed detection rate (MDR) is minimal under a ...
• Strong Structural Controllability and Observability of Individual Nodes: A Graph-Theoretical Approach AI翻译
  作者：Park, Nam-Jin; Kim, Yeong-Ung; Ahn, Hyo-Sung; Moore, Kevin L.
  作者单位：Gwangju Institute of Science & Technology (GIST); Colorado School of Mines
  摘要：In this article, we first establish definitions of structural controllability and strong structural observability for a single state node, based on the conditions of strong structural controllability and observability outlined in existing works. Second, we provide a necessary and sufficient condition for strongly structurally controllable (SSC) and strongly structurally observable (SSO) state nodes in acyclic graphs. Third, we provide the relationship between the conditions for SSC and SSO sta...
• Synthesizing Control Barrier Functions With Feasible Region Iteration for Safe Reinforcement Learning AI翻译
  作者：Yang, Yujie; Zhang, Yuhang; Zou, Wenjun; Chen, Jianyu; Yin, Yuming; Eben Li, Shengbo
  作者单位：Tsinghua University; Tsinghua University; Zhejiang University of Technology
  摘要：Safety is a critical concern when applying reinforcement learning to real-world control problems. A widely used method for ensuring safety is to learn a control barrier function with heuristic feasibility labels that come from expert demonstrations or constraint functions. However, their forward invariant sets fall short of the maximum feasible region because of inaccurate labels. This article proposes an algorithm called feasible region iteration (FRI) that learns the maximum feasible region ...
• Optimal Output-Feedback Control Over Markov Wireless Communication Channels AI翻译
  作者：Impicciatore, Anastasia; Lun, Yuriy Zacchia; Pepe, Pierdomenico; D'Innocenzo, Alessandro
  作者单位：University of L'Aquila
  摘要：The communication links connecting components of wireless control systems may be affected by packet losses due to time-varying fading and interference. We consider a wireless control network with double-sided packet losses: on the sensor-controller link (sensing link) and the controller-actuator link (actuation link). We model the sensing and actuation links as finite-state Markov channels (FSMCs). One time-step delay affects the actuation link mode observation, while the sensing link mode obs...