3期

最新文章

• Task Space Control of the Nonlinearly Parameterizable EulerLagrange Dynamic Systems AI翻译
  作者：Galicki, Miroslaw
  作者单位：University of Zielona Gora
  摘要：A robust-adaptive second-order sliding mode control (SMC) law is proposed for multi-input multi-output Euler-Lagrange (MIMO E-L) nonlinear systems with uncertain both (nonlinear) output (kinematic) and dynamic equations. Moreover, external unknown disturbances are allowed to act on the E-L system when tracking a desired trajectory prescribed in Cartesian (task) space. To cope with both parameteric nonlinearity of the control matrix of the input-to-output form of the E-L system and unknown (lin...
• Output Tracking Control of Cyber-Physical Systems Under Hybrid Attacks and Its Applications AI翻译
  作者：Jiang, Xiaowei; Ren, Xinyu; Li, Bo; Yan, Huaicheng
  作者单位：China University of Geosciences; Anhui University of Finance & Economics; East China University of Science and Technology
  摘要：In cyber-physical systems (CPSs) operating under complex communication environments characterized by dynamic network topologies and bandwidth constraints, the performance of control loops can be significantly degraded by various types of interference, such as signal noise, time-varying delays, and malicious attacks. This paper investigates the output tracking control (OTC) performance of CPSs under the influences of deception attack and hybrid attacks, by proposing a tradeoff performance index...
• On Compensating Internal Models in Regulator Problems AI翻译
  作者：Colaneri, Patrizio; Incremona, Gian Paolo; Mirkin, Leonid
  作者单位：Consiglio Nazionale delle Ricerche (CNR); Istituto di Elettronica e di Ingegneria dell'Informazione e delle Telecomunicazioni (IEIIT-CNR); Technion Israel Institute of Technology
  摘要：This article studies a general regulator problem with an internal model in a subset of measurement channels. It proposes a procedure to reduce the stabilization problem for an augmented system (the plant plus internal model) to an equivalent one based on a process without the internal model and having the complexity of the plant. A key idea is to introduce stable compensation of internal model (CIM) elements to the controller, which are, in a sense, dual to the dead-time compensators used in t...
• Distributed Aggregative Optimization of Uncertain Multiple EulerLagrange Systems: Comparative Analysis of Two Optimization-Control Strategies AI翻译
  作者：Fang, Xiao; Wen, Guanghui; Chen, Guanrong
  作者单位：Southeast University - China; City University of Hong Kong
  摘要：This article addresses the distributed aggregative optimization challenge in uncertain multiple Euler-Lagrange (EL) systems, where each EL agent's local objective function depends on its own position and the aggregation of all EL agents' positions. The goal is to control all EL agents to reach their optimal positions as defined by the aggregative optimization problem. Two distributed aggregative optimization algorithms are proposed for uncertain EL systems, which are based on distinct optimiza...
• Novel Conditions for the Finite-Region Stability of 2-D Systems With Application to Iterative Learning Control AI翻译
  作者：Liang, Chao; Cosentino, Carlo; Merola, Alessio; Romano, Maria; Amato, Francesco
  作者单位：Nanjing University of Science & Technology; Magna Graecia University of Catanzaro; University of Naples Federico II
  摘要：Some recent papers have extended the concept of finite-time stability (FTS) to the context of 2-D linear systems, where it has been referred to as finite-region stability (FRS). FRS methodologies make even more sense than the classical FTS approach developed for 1-D systems, since, typically, at least one of the state variables of 2-D systems is a space coordinate, rather than a time variable. Since space coordinates clearly belong to finite intervals, FRS techniques are much more effective th...
• Nonconvex Regularization for Markov Decision Processes: Modeling and Algorithms AI翻译
  作者：Wu, Yuwei; Chen, Caihua; Chen, Chunlin; Jiang, Suhong; Lim, Andrew
  作者单位：Nanjing University; Nanjing University of Finance & Economics; Southwest Jiaotong University
  摘要：This article investigates efficient algorithm for Markov decision processes (MDPs) through Linear programming (LP). Generally, solving large-scale MDPs via standard LP solvers faces significant computational bottlenecks in matrix factorization. To tackle this problem, we introduced a novel sparse formulation for discounted MDPs using nonconvex regularization. Despite being combinatorial in nature, we show that the formulation can be solved efficiently by an alternating direction method of mult...
• A Specified-Time Distributed Optimization Algorithm for Multiagent Systems With Time-Varying Constraints AI翻译
  作者：Zheng, Yanling; Cenedese, Carlo; Cucuzzella, Michele; Liu, Qingshan
  作者单位：Zhejiang University of Science & Technology; Southeast University - China; Purple Mountain Laboratories; Swiss Federal Institutes of Technology Domain; ETH Zurich
  摘要：In this article, a class of distributed optimization problems for multiagent systems subject to time-varying coupling equality constraint is investigated. The global objective function is a sum of local convex objective functions and only local information is exchanged among the agents over a connected and undirected communication network. Based on convex optimization and Lyapunov stability theory, we show that the multiagent system in closed loop with the proposed distributed protocol is able...
• A Unified Recursive Identification Algorithm With Quantized Observations Based on Weighted Least-Squares Type Criteria AI翻译
  作者：Liu, Xingrui; Wang, Ying; Zhao, Yanlong
  作者单位：Chinese Academy of Sciences; Academy of Mathematics & System Sciences, CAS; Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS; Royal Institute of Technology
  摘要：This article investigates system identification problems with Gaussian inputs and quantized observations under fixed thresholds. By reinterpreting the nonlinear effects induced by quantization as the product of the unknown parameter and an unknown nonlinear coefficient, this work establishes a novel weighted least-squares criterion that enables linear estimation of unknown parameters under quantized observations. Subsequently, a two-step recursive identification algorithm is constructed by est...
• Robust Dynamic Games Played Over Event Trees AI翻译
  作者：Parilina, Elena; Zaccour, Georges
  作者单位：Saint Petersburg State University; Qingdao University; Universite de Montreal; HEC Montreal
  摘要：We characterize cooperative and noncooperative solutions of a dynamic game played over event tree when the transition probability is not given. We assume that the players implement feedback strategies that are adapted to the nodes of the event tree and to the state variable. A robust control is adopted, that is, an approach where the players consider that nature will choose the worst probability distribution with respect to their payoffs. We illustrate our results with an environmental managem...
• Erratum to A TBLMI Framework for Harmonic Robust Control AI翻译
  作者：Vernerey, Flora; Riedinger, Pierre; Daafouz, Jamal
  作者单位：Universite de Lorraine; Centre National de la Recherche Scientifique (CNRS); Institut Universitaire de France
  摘要：Theorem 11 of the paper with the above title provides a method to efficiently approximate infinite-dimensional Toeplitz block linear matrix inequalities by banded ones whose truncated versions are numerically tractable, as they involve only a finite number of unknowns. However, this theorem contains an inaccurate claim and the proof provided is generally incorrect, leaving the result unproven. The purpose of this note is to show that under suitable regularity assumptions, the theorem holds as ...