IEEE Transactions on Automatic Control

最新文章

• Robust Cooperative Output Regulation of Heterogeneous Uncertain Linear Multiagent Systems With Unbounded Distributed Transmission Delays AI翻译
  作者：Bi, Cong; Xu, Xiang; Liu, Lu; Feng, Gang
  作者单位：City University of Hong Kong
  摘要：This article studies the robust cooperative output regulation problem of heterogeneous uncertain linear multiagent systems under unbounded distributed transmission delays. A novel distributed observer is first proposed to estimate the state of an exosystem in the presence of unbounded distributed transmission delays. Then, two novel distributed controllers, one based on state feedback and the other based on output feedback, are further developed without any prior knowledge of the unbounded tra...
• On Moment Matching for Stochastic Systems AI翻译
  作者：Scarciotti, Giordano; Teel, Andrew R.
  作者单位：Imperial College London; University of California System; University of California Santa Barbara
  摘要：In this article, we study the problem of model reduction by moment matching for stochastic systems. We characterize the mathematical object that generalizes the notion of moment to stochastic differential equations, and find a class of models that achieve moment matching. However, differently from the deterministic case, these reduced-order models cannot be considered simpler because of the high computational cost paid to determine the moment. To overcome this difficulty, we relax the moment m...
• Asymptotically Optimal Lagrangian Priority Policy for Deadline Scheduling With Processing Rate Limits AI翻译
  作者：Hao, Liangliang; Xu, Yunjian; Tong, Lang
  作者单位：Chinese University of Hong Kong; Cornell University
  摘要：We study the deadline scheduling problem for multiple deferrable jobs that arrive in a random manner and are to be processed before individual deadlines. The processing of the jobs is subject to a time-varying limit on the total processing rate at each stage. We formulate the scheduling problem as a restless multiarmed bandit problem. Relaxing the scheduling problem into multiple independent single-arm scheduling problems, we define the Lagrangian priority value as the greatest tax under which...
• Second-Order Guarantees of Stochastic Gradient Descent in Nonconvex Optimization AI翻译
  作者：Vlaski, Stefan; Sayed, Ali H.
  作者单位：Swiss Federal Institutes of Technology Domain; Ecole Polytechnique Federale de Lausanne; University of California System; University of California Los Angeles; Imperial College London
  摘要：Recent years have seen increased interest in performance guarantees of gradient descent algorithms for nonconvex optimization. A number of works have uncovered that gradient noise plays a critical role in the ability of gradient descent recursions to efficiently escape saddle-points and reach second-order stationary points. Most available works limit the gradient noise component to be bounded with probability one or sub-Gaussian and leverage concentration inequalities to arrive at high-probabi...
• Event-Based Finite-Time Control for High-Order Interconnected Nonlinear Systems With Asymmetric Output Constraints AI翻译
  作者：Hua, Chang-Chun; Li, Qi-Dong; Li, Kuo
  作者单位：Yanshan University
  摘要：This article aims to solve the problem of decentralized event-based finite-time control for a class of high-order interconnected nonlinear systems with an asymmetric output constraint. In order to achieve finite-time stability and reduce the update frequency of the controller, a novel controller and its event-trigger mechanism is proposed by adding a power integral technique and utilizing sign function. To fulfill the requirement of asymmetric output constraints, an asymmetric barrier Lyapunov...
• Fully Heterogeneous Containment Control of a Network of Leader-Follower Systems AI翻译
  作者：Mazouchi, Majid; Tatari, Farzaneh; Kiumarsi, Bahare; Modares, Hamidreza
  作者单位：Michigan State University; Michigan State University
  摘要：This article develops a distributed solution to the fully heterogeneous containment control problem (CCP), for which not only the followers' dynamics but also the leaders' dynamics are nonidentical. A novel formulation of the fully heterogeneous CCP is first presented in which each follower constructs its virtual exosystem. To build these virtual exosystems by followers, a novel distributed algorithm is developed to calculate the so-called normalized level of influences (NLIs) of all leaders o...
• Observability Criteria for Boolean Networks AI翻译
  作者：Yu, Yongyuan; Meng, Min; Feng, Jun-E; Chen, Ge
  作者单位：Shandong University; Chinese Academy of Sciences; Academy of Mathematics & System Sciences, CAS; Tongji University; Tongji University; Chinese Academy of Sciences; Academy of Mathematics & System Sciences, CAS
  摘要：This article investigates observability of Boolean control networks (BCNs) and probabilistic Boolean networks (PBNs). First, weak observability of BCNs is discussed via the nonaugmented approach. The obtained result is then applied to determine (asymptotic) observability of PBNs. Finally, complexity of algorithms based on new criteria is analyzed. Compared with existing ones, time and space complexity do not get worse, even are improved under some mild conditions.
• Anytime Control Under Practical Communication Models AI翻译
  作者：Liu, Wanchun; Quevedo, Daniel E.; Li, Yonghui; Vucetic, Branka
  作者单位：University of Sydney; Queensland University of Technology (QUT)
  摘要：In this article, we investigate a novel anytime control algorithm for wireless networked control with random dropouts. The controller computes sequences of tentative future control commands using time-varying (Markovian) computational resources. The sensor-controller and controller-actuator channel states are spatial- and time-correlated, respectively, and are modeled as a multistate Markov process. To compensate the effect of packet dropouts, a dual-buffer mechanism is proposed. We develop a ...
• Optimal Selection of Observations for Identification of Multiple Modules in Dynamic Networks AI翻译
  作者：Jahandari, Sina; Materassi, Donatello
  作者单位：University of Minnesota System; University of Minnesota Twin Cities
  摘要：This article presents a systematic algorithm to select a set of auxiliary measurements in order to consistently identify certain transfer functions in a dynamic network from observational data. The selection of the auxiliary measurements is obtained by minimizing an appropriate cost function. It is assumed that the topology of the network is known, the forcing inputs are not measured, and the observations have positive additive costs. It is shown that sufficient and necessary conditions for co...
• A Sensory Feedback Based Discrete Distributed Observer to Cooperative Output Regulation AI翻译
  作者：Lu, Maobin
  作者单位：Beijing Institute of Technology; Beijing Institute of Technology
  摘要：The discrete distributed observer is developed recently to solve the cooperative output regulation problem. The validation of the existing discrete distributed observer depends on the establishment of the communication network. In some practical applications, only the sensor network can be established among all agents. To handle such cases, we propose a sensory feedback-based discrete distributed observer, which depends on the relative output of neighboring agents. In contrast to existing resu...