IEEE Transactions on Automatic Control

最新文章

• Stabilization of Nonlinear Discrete-Time Systems to Target Measures Using Stochastic Feedback Laws AI翻译
  作者：Biswal, Shiba; Elamvazhuthi, Karthik; Berman, Spring
  作者单位：University of California System; University of California Los Angeles; Arizona State University; Arizona State University-Tempe
  摘要：In this article, we address the problem of stabilizing a discrete-time deterministic nonlinear control system to a target invariant measure using time-invariant stochastic feedback laws. This problem can be viewed as an extension of the problem of designing the transition probabilities of a Markov chain so that the process is exponentially stabilized to a target stationary distribution. Alternatively, it can be seen as an extension of the classical control problem of asymptotically stabilizing...
• Stochastic Event-Based Sensor Schedules for Remote State Estimation in Cognitive Radio Sensor Networks AI翻译
  作者：Huang, Lingying; Wang, Jiazheng; Kung, Enoch; Mo, Yilin; Wu, Junfeng; Shi, Ling
  作者单位：Hong Kong University of Science & Technology; University of London; University College London; Tsinghua University; Tsinghua University; Zhejiang University
  摘要：We consider the problem of communication allocation for remote state estimation in a cognitive radio sensor network (CRSN). A sensor collects measurements of a physical plant, and transmits the data to a remote estimator as a secondary user (SU) in the shared network. The existence of the primal users (PUs) brings exogenous uncertainties into the transmission scheduling process, and how to design an event-based scheduling scheme considering these uncertainties has not been addressed in the lit...
• F-Passive Systems and Control Application AI翻译
  作者：Stefanovski, Jovan D.
  摘要：A class of F-passive descriptor systems is introduced, where F is also a descriptor system. Time-domain and frequency-domain characterizations are presented, as well as properties of F-passive systems. The first property is their cascade decomposition, and the second concerns their zeros. For a given system H, an linear matrix inequality based algorithm for obtaining a system F such that system H is F-passive is presented. Connections between F-passive and passive systems are given. A state-fe...
• An Indirect Method for Regular State-Constrained Optimal Control Problems in Flow Fields AI翻译
  作者：Chertovskih, Roman; Karamzin, Dmitry; Khalil, Nathalie T.; Pereira, Fernando Lobo
  作者单位：Universidade do Porto; Russian Academy of Sciences; Federal Research Center Computer Science & Control of RAS
  摘要：This article concerns an indirect method to solve state-constrained optimal control problems. The dynamics of the controlled system is given by ordinary differential equations encompassing the effect of a steady flow field in which the moving object is immersed. The proposed method is based on the maximum principle in Gamkrelidze's form. At the core of the approach is a regularity hypothesis which entails the continuity of the measure Lagrange multiplier associated with the state constraint. T...
• Convergence Behavior Analysis of Directed Signed Networks Subject to Nonidentical Topologies AI翻译
  作者：Meng, Deyuan; Du, Mingjun; Liang, Jianqiang
  作者单位：Beihang University; Beihang University
  摘要：This article addresses the behavior analysis problems for directed signed networks that involve cooperative-antagonistic interactions among agents. Of particular interest is to explore the convergence behaviors of directed signed networks with agents of mixed first-order and second-order dynamics. Furthermore, the agents are subject to nonidentical topologies represented by two different signed digraphs that have a strongly connected union. It is shown that when considering signed networks sub...
• Robust Maximization of Correlated Submodular Functions Under Cardinality and Matroid Constraints AI翻译
  作者：Hou, Qiqiang; Clark, Andrew
  作者单位：Worcester Polytechnic Institute
  摘要：Submodular maximization has applications in networked control, data summarization, and path planning, among other areas. While several efficient algorithms with provable optimality bounds have been developed for maximizing a single submodular function, the more computationally challenging problem of maximizing the minimum of a set of submodular functions (robust submodular maximization) has received less research attention. In this article, we investigate robust submodular maximization when th...
• Asymptotic Stability of Boolean Networks With Multiple Missing Data AI翻译
  作者：Huang, Chi; Wang, Wei; Lu, Jianquan; Kurths, Jurgen
  作者单位：Southwestern University of Finance & Economics - China; Taiyuan University of Technology; Chengdu University; Southeast University - China; Potsdam Institut fur Klimafolgenforschung; Humboldt University of Berlin; Saratov State University
  摘要：In actual network transmission, data loss due to network congestion and power shortage is unavoidable. However, this phenomenon has not been considered in Boolean networks (BNs) analysis so far. The loss of data is usually random, so BNs with missing data are modeled by introducing Bernoulli distribution sequences. A novel augmented system is constructed to deal with the randomly missing data. The initial states of the BNs are supposed to be chosen from the whole space or only part of it, whic...
• Finite-Sample Analysis for Decentralized Batch Multiagent Reinforcement Learning With Networked Agents AI翻译
  作者：Zhang, Kaiqing; Yang, Zhuoran; Liu, Han; Zhang, Tong; Basar, Tamer
  作者单位：University of Illinois System; University of Illinois Urbana-Champaign; University of Illinois System; University of Illinois Urbana-Champaign; Princeton University; Northwestern University; Hong Kong University of Science & Technology
  摘要：Despite the increasing interest in multiagent reinforcement learning (MARL) in multiple communities, understanding its theoretical foundation has long been recognized as a challenging problem. In this article, we address this problem by providing a finite-sample analysis for decentralized batch MARL. Specifically, we consider a type of mixed MARL setting with both cooperative and competitive agents, where two teams of agents compete in a zero-sum game setting, while the agents within each team...
• Distributed Control Design for Heterogeneous Interconnected Systems AI翻译
  作者：Stuerz, Yvonne R.; Eichler, Annika; Smith, Roy S.
  作者单位：University of California System; University of California Berkeley; Helmholtz Association; Deutsches Elektronen-Synchrotron (DESY); Swiss Federal Institutes of Technology Domain; ETH Zurich
  摘要：This article presents scalable controller synthesis methods for heterogeneous and partially heterogeneous systems. First, heterogeneous systems composed of different subsystems that are interconnected over a directed graph are considered. Techniques from robust and gain-scheduled controller synthesis are employed, in particular, the full-block S-procedure, to deal with the decentralized system part in a nominal condition and with the interconnection part in a multiplier condition. Under some s...
• Event-Triggered Learning for Linear Quadratic Control AI翻译
  作者：Schlueter, Henning; Solowjow, Friedrich; Trimpe, Sebastian
  作者单位：University of Stuttgart; Max Planck Society; RWTH Aachen University
  摘要：When models are inaccurate, the performance of model-based control will degrade. For linear quadratic control, an event-triggered learning framework is proposed that automatically detects inaccurate models and triggers the learning of a new process model when needed. This is achieved by analyzing the probability distribution of the linear quadratic cost and designing a learning trigger that leverages Chernoff bounds. In particular, whenever empirically observed cost signals are located outside...