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作者：Yi, Peng; Lei, Jinlong; Chen, Jie; Hong, Yiguang; Shi, Guodong
作者单位：Tongji University; Tongji University; University of Sydney
摘要：Distributed linear algebraic equation over networks, where nodes hold a part of problem data and cooperatively solve the equation via node-to-node communications, is a basic distributed computation task receiving an increasing research attention. Communications over a network have a stochastic nature, with both temporal and spatial dependence due to link failures, packet dropouts, or node recreation, etc. In this article, we study the convergence and convergence rate of distributed linear equa...
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作者：Koehler, Philipp N.; Mueller, Matthias A.; Allgoewer, Frank
作者单位：University of Stuttgart; Leibniz University Hannover
摘要：We consider dissipativity properties of interconnected systems in the context of distributed economic model predictive control (MPC), with the subsystems being interconnected through their stage cost functions. The isolated subsystems, i.e., when neglecting the coupled portion of the individual stage costs, are assumed to be dissipative with respect to a specific supply rate related to their local stage cost function, which is commonly used in an economic MPC context. Based on these local diss...
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作者：Wang, Shimin; Zhang, Hongwei; Baldi, Simone; Zhong, Renxin
作者单位：Queens University - Canada; Harbin Institute of Technology; Southeast University - China; Delft University of Technology; Sun Yat Sen University
摘要：This article studies the leaderless consensus problem of heterogeneous multiple networked Euler-Lagrange systems subject to persistent disturbances with unknown constant biases, amplitudes, initial phases, and frequencies. The main characteristic of this study is that none of the agents has information of a common reference model or of a common reference trajectory. Therefore, the agents must simultaneously and in a distributed way: achieve consensus to a common reference model (group model); ...
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作者：Wu, Xiaotai; Zheng, Wei Xing; Tang, Yang; Jin, Xin
作者单位：Anhui Polytechnic University; Western Sydney University; East China University of Science & Technology
摘要：The average impulsive interval is widely used to describe the frequency of impulsive occurrence (FIO), where the occurrence number of impulses is bounded by a linear function of time interval length. However, the linear relationship may insufficiently or excessively characterize the occurrence number of impulses to stabilize impulsive time-varying systems. In this article, the impulsive density is introduced to describe a time-varying FIO, such that the occurrence number of impulses can be cha...
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作者：Kim, Jeongho; Yang, Insoon
作者单位：Seoul National University (SNU); Korea Institute for Advanced Study (KIAS); Seoul National University (SNU); Seoul National University (SNU)
摘要：Maximum entropy reinforcement learning methods have been successfully applied to a range of challenging sequential decision-making and control tasks. However, most of the existing techniques are designed for discrete-time systems although there has been a growing interest to handle physical processes evolving in continuous time. As a first step toward their extension to continuous-time systems, this article aims to study the theory of maximum entropy optimal control in continuous time. Applyin...
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作者：Ran, Ning; Li, Tingting; He, Zhou; Seatzu, Carla
作者单位：Hebei University; Shaanxi University of Science & Technology; University of Cagliari
摘要：This article aims to enforce codiagnosability in labeled Petri nets, which are monitored by a series of sites. A labeled Petri net is codiagnosable with respect to a certain fault, if the occurrence of such a fault could be detected by at least one of the sites. We assume that codiagnosability is imposed to a noncodiagnosable system by appropriately positioning additional sensors. In particular, the goal is that of minimizing the cost of the new sensors. The enumeration of the whole state spac...
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作者：Sui, Shuai; Chen, C. L. Philip; Tong, Shaocheng
作者单位：Liaoning University of Technology; South China University of Technology
摘要：In this article, the issue of adaptive control design with full error constraints for multi-input and multi-output nonlinear systems is investigated. By combining nonlinear filters and an adaptive back-stepping control scheme, a novel dynamic surface control (DSC) scheme is presented. Different from the DSC scheme with the traditional linear filter, the proposed DSC not only solves the inherent problem of computational complexity explosion, but also enhances the control property. In addition, ...
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作者：Ghodrat, Mohsen; Marquez, Horacio J. J.
作者单位：University of Alberta
摘要：This article introduces a new Lyapunov sampling for event-triggered linear systems. Contrary to the majority of the existing literature, our proposed event-triggering mechanism (ETM) directly deals with the Lyapunov derivative rather than its upper bounds. Moreover, a new concept of ideality is introduced, which serves as a measure of conservativity of the triggering mechanism during the stability regions of trajectories. To construct the ETM, we employ a diagonal transformation to facilitate ...
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作者：Poveda, Jorge I.; Krstic, Miroslav; Basar, Tamer
作者单位：University of Colorado System; University of Colorado Boulder; University of California System; University of California San Diego; University of California System; University of California San Diego; University of Illinois System; University of Illinois Urbana-Champaign
摘要：In this article, we introduce first-order and zeroth-order Nash equilibrium seeking dynamics with fixed-time and practical fixed-time convergence certificates for noncooperative games having finitely many players. The first-order algorithms achieve exact convergence to the Nash equilibrium of the game in a finite time that can be additionally upper bounded by a constant that is independent of the initial conditions of the actions of the players. Moreover, these fixed-time bounds can be prescri...
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作者：Jansch-Porto, Joao Paulo; Hu, Bin; Dullerud, Geir E.
作者单位：University of Illinois System; University of Illinois Urbana-Champaign; University of Illinois System; University of Illinois Urbana-Champaign
摘要：Recently, policy optimization has received renewed attention from the control community due to various applications in reinforcement learning tasks. In this article, we investigate the global convergence of the gradient method for quadratic optimal control of discrete-time Markovian jump linear systems (MJLS). First, we study the optimization landscape of direct policy optimization for MJLS, with static-state feedback controllers and quadratic performance costs. Despite the nonconvexity of the...
