3期

最新文章

• Zonotope-Based Interval Estimation for 2-D FMLSS Systems Using an Event-Triggered Mechanism AI翻译
  作者：Yang, Liu; Fei, Zhongyang; Wang, Zhenhua; Ki Ahn, Choon
  作者单位：Harbin Institute of Technology; Dalian University of Technology; Dalian University of Technology; Harbin Institute of Technology; Korea University
  摘要：This study considers the problem of interval estimation for event-triggered 2-D systems in Fornasini-Marchesini local state-space (FMLSS) model. In such systems, the general hypothesis for practical applications is that exogenous disturbances and measurement noise are unknown but bounded. First, an observer design criterion is deduced from the defined zonotopic radius and weighted radius of the FMLSS model. Subsequently, to economize the restricted communication resources, an event-driven data...
• Distributed Pinning Set Stabilization of Large-Scale Boolean Networks AI翻译
  作者：Zhu, Shiyong; Lu, Jianquan; Sun, Liangjie; Cao, Jinde
  作者单位：Southeast University - China; Southeast University - China; Linyi University; University of Hong Kong; Southeast University - China; Purple Mountain Laboratories; Yonsei University
  摘要：In this article, we design the distributed pinning controllers to globally stabilize a Boolean network (BN), especially a sparsely connected large-scale one, toward a preassigned subset of states through the node-to-node message exchange. Given an appointed set of states, system nodes are partitioned into two disjoint parts, whose states are, respectively, fixed or arbitrary with respect to the given state set. With such node division, three parts of pinned nodes are selected and the state fee...
• Robustness of Learning in Games With Heterogeneous Players AI翻译
  作者：Akbar, Aqsa Shehzadi; Jaleel, Hassan; Abbas, Waseem; Shamma, Jeff S.
  作者单位：University of Texas System; University of Texas Dallas; University of Illinois System; University of Illinois Urbana-Champaign
  摘要：We consider stochastic learning dynamics in games and present a novel notion of robustness to heterogeneous players for a stochastically stable action profile. A standard assumption in these dynamics is that all the players are homogeneous, and their decision strategies can be modeled as perturbed versions of myopic best or better response strategies. We relax this assumption and propose a robustness criteria, which characterizes a stochastically stable action profile as robust to heterogeneou...
• Solution Algorithms for the Bounded Acceleration Shortest Path Problem AI翻译
  作者：Ardizzoni, Stefano; Consolini, Luca; Laurini, Mattia; Locatelli, Marco
  作者单位：University of Parma
  摘要：The purpose of this article is to introduce and characterize the bounded acceleration shortest path problem (BASP), a generalization of the shortest path problem (SP). This problem is associated to a graph: nodes represent positions of a mobile vehicle and arcs are associated to preassigned geometric paths that connect these positions. The BASP consists in finding the minimum-time path between two nodes. Differently from the SP, the vehicle has to satisfy bounds on maximum and minimum accelera...
• On the Semidecidability of the Remote State Estimation Problem AI翻译
  作者：Boche, Holger; Boeck, Yannik N.; Deppe, Christian
  作者单位：Technical University of Munich; Technical University of Munich
  摘要：In this article, we consider the decision problem associated with the task of remotely estimating the state of a dynamic plant via a noisy communication channel. Given a machine-readable description of the plant's and channel's characteristics, does there exist an algorithm that decides whether remote state estimation is possible? From an analytic point of view, this problem has been shown to involve the zero-error capacity of the communication channel. By applying results from Turing machine ...
• Event-Triggered Fixed-Time Stabilization of Two Time Scales Linear Systems AI翻译
  作者：Lei, Yan; Wang, Yan-Wu; Morarescu, Irinel-Constantin; Postoyan, Romain
  作者单位：Huazhong University of Science & Technology; Huazhong University of Science & Technology; Huazhong University of Science & Technology; Centre National de la Recherche Scientifique (CNRS); Universite de Lorraine
  摘要：This article investigates the fixed-time stabilization of uncertain linear time-invariant systems exhibiting two time scales using a state-feedback event-triggered controller. We proceed by emulation and assume that we know a controller that solves the problem in the absence of sampling. We then take sampling into account and present an event-triggered strategy, which consists of two independent sampling mechanisms, associated with the slow and the fast subsystems, respectively. In this settin...
• Expedited Online Learning With Spatial Side Information AI翻译
  作者：Thangeda, Pranay; Ornik, Melkior; Topcu, Ufuk
  作者单位：University of Illinois System; University of Illinois Urbana-Champaign; University of Illinois System; University of Illinois Urbana-Champaign; University of Texas System; University of Texas Austin; University of Texas System; University of Texas Austin
  摘要：The applicability of model-based online reinforcement learning algorithms is often limited by the amount of exploration required for learning the environment model to the desired level of accuracy. A promising approach to addressing this issue is to exploit side information, available either a priori or during the agent's mission, for learning the unknown dynamics. Side information in our context refers to information in the form of bounds on the differences between transition probabilities at...
• About Robustness of Control Systems Embedding an Internal Model AI翻译
  作者：Bin, Michelangelo; Astolfi, Daniele; Marconi, Lorenzo
  作者单位：Imperial College London; Centre National de la Recherche Scientifique (CNRS); CNRS - Institute for Engineering & Systems Sciences (INSIS); Universite Claude Bernard Lyon 1; University of Bologna
  摘要：Robustness is a basic property of any control system. In the context of linear output regulation, it was proved that embedding an internal model of the exogenous signals is necessary and sufficient to achieve tracking of the desired reference signals in spite of external disturbances and parametric uncertainties. This result is commonly known as the internal model principle. A complete extension of such linear result to general nonlinear systems is still an open problem, exacerbated by the lar...
• Projection Scheme and Adaptive Control for Symmetric Matrices With Eigenvalue Bounds AI翻译
  作者：Moghe, Rahul; Akella, Maruthi R.
  作者单位：University of Texas System; University of Texas Austin
  摘要：A projection scheme to handle eigenvalue bounds for adaptive control with uncertain symmetric matrix parameters is introduced. Conventional parameter projection techniques are generally unable to handle explicit eigenvalue bounds. The continuous projection scheme presented here maintains the closed-loop stability properties for adaptive controllers while simultaneously satisfying a priori available eigenvalue bounds of the uncertain symmetric matrix valued parameters. The projection scheme use...
• Transient Growth of Accelerated Optimization Algorithms AI翻译
  作者：Mohammadi, Hesameddin; Samuelson, Samantha; Jovanovic, Mihailo R.
  作者单位：University of Southern California
  摘要：Optimization algorithms are increasingly being used in applications with limited time budgets. In many real-time and embedded scenarios, only a few iterations can be performed and traditional convergence metrics cannot be used to evaluate performance in these nonasymptotic regimes. In this article, we examine the transient behavior of accelerated first-order optimization algorithms. For convex quadratic problems, we employ tools from linear systems theory to show that transient growth arises f...