9期

最新文章

• Symbiotic Control of Uncertain Dynamical Systems: Harnessing Synergy Between Fixed-Gain Control and Adaptive Learning Architectures AI翻译
  作者：Yucelen, Tansel; Sarsilmaz, Selahattin Burak; Yildirim, Emre
  作者单位：State University System of Florida; University of South Florida; State University System of Florida; University of South Florida; Utah System of Higher Education; Utah State University
  摘要：Both fixed-gain control and adaptive learning architectures aim to mitigate the effects of uncertainties. In particular, fixed-gain control offers more predictable closed-loop system behavior but requires the knowledge of uncertainty bounds. In contrast, while adaptive learning does not necessarily require such knowledge, it often results in less predictable closed-loop system behavior compared to fixed-gain control. To this end, this article presents a novel symbiotic control framework that o...
• Safety Control of Switched Systems via Multiple Barrier Functions AI翻译
  作者：Long, Lijun; Huang, Chunxiao; Sun, Zhendong
  作者单位：Northeastern University - China; Northeastern University - China; Northeastern University - China; Shandong University of Science & Technology
  摘要：This article is concerned with the problem of safety control for switched systems, where different safe sets are allowed for different subsystems and safety is not necessarily possessed for subsystems. A necessary and sufficient condition is presented for safety of switched systems by exploiting a multiple barrier functions (MBFs) method. To reveal the relationship about safety between subsystems and switched systems, an extended Nagumo's Theorem in the switched systems framework is derived. A...
• Distributed Task Allocation for Self-Interested Agents With Partially Unknown Rewards AI翻译
  作者：Mandal, Nirabhra; Khajenejad, Mohammad; Martinez, Sonia
  作者单位：University of California System; University of California San Diego; University of Tulsa; University of Tulsa
  摘要：This article provides a novel solution to a task allocation problem, by which a group of agents assigns a discrete set of tasks in a distributed manner. In this setting, heterogeneous agents have individual preferences and associated rewards for doing each task; however, these rewards are only known asymptotically. The assignment problem is formulated by means of a combinatorial partition game for known rewards, with no constraints on the number of tasks per agent. We relax this into a weight ...
• Epidemic Population Games and Perturbed Best Response Dynamics AI翻译
  作者：Park, Shinkyu; Certorio, Jair; Martins, Nuno C.; La, Richard J.
  作者单位：King Abdullah University of Science & Technology; University System of Maryland; University of Maryland College Park
  摘要：This article proposes an approach to mitigate epidemic spread in a population of strategic agents by encouraging safer behaviors through carefully designed rewards. These rewards, which adapt to the evolving state of the epidemic, are ascribed by a dynamic payoff mechanism we seek to design. We use a modified suspectable-infectious-recovered-susceptible model to track how the epidemic progresses in response to the agents' strategic choices. By employing perturbed best response evolutionary dyn...
• Energy-Constrained Optimal Stealthy Attack Against State Estimation With Multichannel Protocol AI翻译
  作者：Mao, Dancheng; Niu, Yugang; Xu, Kun
  作者单位：East China University of Science & Technology
  摘要：Research on attack design provides a reference for attack defense. To this end, this work considers the design problem of an optimal energy-constrained stealthy attack strategy orienting remote estimation. The signals from smart sensors to remote estimators are scheduled via an extended Round-Robin protocol, which sends data through each channel in a specific order, and allows more than one channel to be transitable at each instant. To achieve the optimal attack strategy that can maximize the ...
• Two-Timescale Distributed Approach to Nash Equilibrium Seeking of Euler-Lagrange Systems in Multicluster Nonconvex Games AI翻译
  作者：Huang, Banghua; Liu, Yang; Lu, Jianquan; Jiang, Yunliang; Gui, Weihua
  作者单位：Zhejiang Normal University; Southeast University - China; Zhejiang Normal University; Zhejiang Normal University; Southeast University - China; Zhejiang Normal University; Huzhou University; Central South University
  摘要：In this article, we investigate a distributed generalized Nash equilibrium (GNE) seeking problem for multicluster games, where each cluster consists of multiple players. Different from most of the existing multicluster game studies, the multicluster games considered nonconvex cost functions, nonconvex (coupled) inequality constraints, and nonaffine (coupled) equality constraints. Each player in a cluster communicates and cooperates with other players based on a directed connected network to ma...
• Existence and Design of Target Output Controllers AI翻译
  作者：Fernando, Tyrone; Darouach, Mohamed
  作者单位：University of Western Australia; Universite de Lorraine; Centre National de la Recherche Scientifique (CNRS); CNRS - Institute for Information Sciences & Technologies (INS2I)
  摘要：This article introduces new conditions for target output controllability and provides existence conditions for placing a specific number of poles with a target output controller. In addition, an algorithm is presented for the design of a target output controller. Controllability of the system under consideration is not required for designing target output controllers in this context. The findings in this article extend the principles of full state feedback control. Moreover, we present conditi...
• K-Step Opacity Verification and Enforcement of Time Labeled Petri Net Systems AI翻译
  作者：Dong, Yifan; Lefebvre, Dimitri; Li, Zhiwu
  作者单位：Macau University of Science & Technology; Universite Le Havre Normandie
  摘要：This article presents a procedure for K-step opacity verification and enforcement of timed observations generated from discrete event systems modeled by time labeled Petri nets. Within the framework of a timed discrete event system that is partially observed by an intruder, a K-step opaque timed observation means that an intruder has observed the system with time stamps but is not able to deduce the secret information within the knowledge derived from the last K steps of the timed observation....
• Accelerated Successive Convex Approximation for Nonlinear Optimization-Based Control AI翻译
  作者：Wu, Jinxian; Dai, Li; Dou, Songshi; Xia, Yuanqing
  作者单位：Beijing Institute of Technology; University of Hong Kong
  摘要：The successive convex approximation (SCA) methods stand out as the viable option for nonlinear optimization-based control, as it effectively addresses the challenges posed by nonlinear (potentially nonconvex) optimization problems by transforming them into a sequence of strongly convex subproblems. However, the current SCA algorithm exhibits a slow convergence rate, resulting in a relatively poor performance within a limited sample time. In this article, the process of SCA is retreated as solv...
• Optimal Robust Exact First-Order Differentiators With Lipschitz-Continuous Output AI翻译
  作者：Aldana-Lopez, Rodrigo; Seeber, Richard; Haimovich, Hernan; Gomez-Gutierrez, David
  作者单位：Intel Corporation; Intel Mexico; Graz University of Technology; Consejo Nacional de Investigaciones Cientificas y Tecnicas (CONICET); National University of Rosario
  摘要：The signal differentiation problem involves the development of algorithms that allow to recover a signal's derivatives from noisy measurements. This article develops a first-order differentiator with robustness to measurement noise, exactness in the absence of noise, optimal worst-case differentiation error, and Lipschitz-continuous output, where the output's Lipschitz constant is a tunable parameter. This combination of advantageous properties is not shared by any existing differentiator. A s...