6期

最新文章

• Aggregation Method to Strategy Consensus of Large-Size Networked Evolutionary Matrix Games AI翻译
  作者：Li, Haitao; Wang, Shuling; Li, Wenrong
  作者单位：Shandong Normal University
  摘要：The study of large-size networked evolutionary matrix games (NEMGs) with general network structure is a challenging topic due to the inherent complexity of networks. This note analyzes the strategy consensus of large-size NEMGs. The considered large-size NEMG is partitioned into several small-size control subgames via aggregation method. Then, the strategy consensus analysis of large-size NEMGs is converted into the strategy synthesis of small-size control subgames. Based on the strategy profi...
• Almost-Sure Robust Stabilization of Randomly Switched Linear Systems With Uncontrollable Subsystems AI翻译
  作者：Wang, Le Yi; Yin, George; Lin, Feng; Polis, Michael P.; Chen, Wen
  作者单位：Wayne State University; University of Connecticut; Oakland University; Wayne State University
  摘要：This article investigates state feedback design for achieving almost-sure robust stabilization of randomly switched linear systems whose subsystems are uncontrollable and whose models are subject to nonlinear modeling errors due to, for example, linearization. Complex systems are often uncontrollable under a fixed configuration from a single control input. However, when control actions can be used sequentially and collaboratively through different system configurations, stabilization can be po...
• A Second-Order Generalization of TC and DC Kernels AI翻译
  作者：Zorzi, Mattia
  作者单位：University of Padua
  摘要：Kernel-based methods have been successfully introduced in system identification to estimate the impulse response of a linear system. Adopting the Bayesian viewpoint, the impulse response is modeled as a zero mean Gaussian process whose covariance function (kernel) is estimated from the data. The most popular kernels used in system identification are the tuned-correlated (TC), the diagonal-correlated (DC) and the stable spline (SS) kernel. TC and DC kernels admit a closed-form factorization of ...
• Event-Triggered Control From Data AI翻译
  作者：De Persis, Claudio; Postoyan, Romain; Tesi, Pietro
  作者单位：University of Groningen; University of Groningen; Centre National de la Recherche Scientifique (CNRS); Universite de Lorraine; University of Florence
  摘要：We present a data-based approach to design event-triggered state-feedback controllers for unknown continuous-time linear systems affected by disturbances. By an event, we mean state measurements transmission from the sensors to the controller over a digital network. By exploiting a sufficiently rich finite set of noisy state measurements and inputs collected off-line, we first design a data-driven state-feedback controller to ensure an input-to-state stability property for the closed-loop syst...
• Perturbation-Tolerant Structural Controllability for Linear Systems AI翻译
  作者：Zhang, Yuan; Xia, Yuanqing; Wang, Gang; Zhang, Jinhui
  作者单位：Beijing Institute of Technology; Zhongyuan University of Technology
  摘要：This article proposes a novel notion termed perturbation-tolerant structural controllability (PTSC) to study the generic property of controllability preservation/resilience of structured linear systems under structured perturbations. A structured system is said to be PTSC with respect to a perturbation structure if for almost all controllable realizations of this system, there are no complex-valued perturbations obeying the zero/nonzero pattern prescribed by the perturbation structure that can...
• Recursive Bayesian Estimation for Discrete-Time Systems With State-Dependent Packet Dropouts: A Cross-Coupled Method AI翻译
  作者：Liu, Qinyuan; Wang, Zidong; Dong, Hongli; Jiang, Changjun
  作者单位：Tongji University; Tongji University; Brunel University; Northeast Petroleum University; Northeast Petroleum University
  摘要：In this article, the recursive Bayesian estimation problem is investigated for a class of linear discrete-time systems subject to state-dependent packet dropouts. During the transmission to a remote estimator, the data packets carrying the local measurements might be dropped if the system state is located within certain occlusion region, and this gives rise to a nonstationary dropout process relying on real system states. In this scenario, due to the exponential growth of the computational cos...
• Distributed Feedback Optimization of Nonlinear Uncertain Systems Subject to Inequality Constraints AI翻译
  作者：Qin, Zhengyan; Liu, Tengfei; Liu, Tao; Jiang, Zhong-Ping; Chai, Tianyou
  作者单位：Northeastern University - China; University of Hong Kong; University of Hong Kong; The University of Hong Kong Shenzhen Institute of Research & Innovation; New York University
  摘要：This article studies the distributed feedback optimization problem for nonlinear uncertain multi-agent systems subject to inequality constraints. A new class of distributed optimization algorithms is proposed by extending the standard primal-dual dynamics and introducing two new inputs to deal with the couplings arising from feedback optimization. With each controlled agent satisfying a mild dissipation assumption, the proposed distributed feedback optimization algorithms, using only the outpu...
• Lightweight Distributed Gaussian Process Regression for Online Machine Learning AI翻译
  作者：Yuan, Zhenyuan; Zhu, Minghui
  作者单位：Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park
  摘要：In this article, we study the problem where a group of agents aims to collaboratively learn a common static latent function through streaming data. We propose alight weight distributed Gaussian process regression (GPR)algorithm that is cognizant of agents' limited capabilities in communication, computation, and memory. Each agent independently runs agent-based GPR using local streaming data to predict test points of interest; then, the agents collaboratively execute distributed GPR to obtain g...
• Convex Decreasing Algorithms: Distributed Synthesis and Finite-Time Termination in Higher Dimension AI翻译
  作者：Melbourne, James; Saraswat, Govind; Khatana, Vivek; Patel, Sourav; Salapaka, Murti V.
  作者单位：University of Minnesota System; University of Minnesota Twin Cities; United States Department of Energy (DOE); National Renewable Energy Laboratory - USA
  摘要：We establish finite time termination algorithms for consensus algorithms based on geometric properties that yield finite-time guarantees, suited for use in high dimension and in the absence of a central authority. These pursuits motivate a new peer to peer convex hull algorithm, which is utilized for one stopping algorithm. Further an alternative lightweight norm based stopping criteria is also developed. The practical utility of the algorithm is illustrated through MATLAB simulations.
• Extended Kalman Filter-Based Observer Design for Semilinear Infinite-Dimensional Systems AI翻译
  作者：Afshar, Sepideh; Germ, Fabian; Morris, Kirsten
  作者单位：University of Edinburgh; University of Waterloo
  摘要：In many physical applications, the system's state varies with spatial variables as well as time. The state of such systems is modeled by partial differential equations and evolves on an infinite-dimensional space. Systems modeled by delay-differential equations are also infinite-dimensional systems. The full state of these systems cannot be measured. Observer design is an important tool for estimating the state from available measurements. For linear systems, both finite- and infinite-dimensio...