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作者：Qi, Qingyuan; Xie, Lihua; Zhang, Huanshui; Liang, Xiao
作者单位：Harbin Engineering University; Nanyang Technological University; Shandong University of Science & Technology; Linyi University
摘要：This article investigates the finite horizon jointly optimal local and remote linear quadratic (LQ) control problem for a networked control system (NCS) with multiple subsystems. Each subsystem is governed by a general multiplicative noise stochastic system and is equipped with both a local controller and a remote controller. Due to the unreliable uplink channels, the remote controller can only access unreliable state information of all subsystems, while the downlink channels from the remote c...
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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 ...
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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...
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作者：Chen, Xin; Poveda, Jorge I.; Li, Na
作者单位：Texas A&M University System; Texas A&M University College Station; University of California System; University of California San Diego; Harvard University
摘要：This article introduces a class of model-free feedback methods for solving generic constrained optimization problems where the mathematical forms of the cost and constraint functions are not available. The proposed methods, termed projected zeroth-order (P-ZO) dynamics, incorporate projection maps into a class of continuous-time zeroth-order dynamics that use direct measurements of the cost function and periodic dithering for the purpose of gradient learning. In particular, the proposed P-ZO a...
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作者：Wang, Shengxian; Cao, Ming; Chen, Xiaojie
作者单位：Anhui Normal University; University of Electronic Science & Technology of China; University of Groningen
摘要：Combined prosocial incentives, integrating reward for cooperators and punishment for defectors, are effective tools to promote cooperation among competing agents in population games. Existing research concentrated on how to adjust reward or punishment, as two mutually exclusive tools, during the evolutionary process to achieve the desired proportion of cooperators in the population, and less attention has been given to exploring a combined incentive-based control policy that can steer the syst...
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作者：Zhang, Jing; Liu, Shuai; Xie, Lihua
作者单位：Shandong University; Liaocheng University; Nanyang Technological University
摘要：This article is devoted to the distributed convex optimization problem for a class of nonlinear multiagent systems under set constraints. The optimization objective function is composed of the cost function of each agent, where the individual cost function is only accessible by itself. Due to the complexity of nonlinear dynamics of agents, it is very difficult to solve the optimization problem directly. Therefore, we first propose an auxiliary system for each agent, which is used to seek the s...
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作者：Li, Linlin; Ding, Steven X.; Zhong, Maiying; Peng, Kaixiang
作者单位：University of Science & Technology Beijing; University of Duisburg Essen; Shandong University of Science & Technology
摘要：This article is devoted to one-class fault detection in linear discrete-time varying (LDTV) systems with uncertainties. Specifically, following the Hilbert Projection theorem, the residual generation problem is solved by means of an orthogonal projection of process data onto system subspaces in Hilbert space. The resulted Pythagorean equation enables establishing an adaptive threshold driven by the residual signal and using gap metric as the similarity measure. In this projection-based fault d...
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作者：Zhang, Jingting; Yuan, Chengzhi; Wu, Fen; Wang, Cong; Cheng, Hong
作者单位：University of Electronic Science & Technology of China; University of Rhode Island; North Carolina State University; Shandong University
摘要：In this article, we investigate the joint problem of dynamics learning and tracking control for a class of parabolic partial differential equation (PDE) systems with infinite-dimensional uncertain nonlinear dynamics. A new learning control scheme is proposed based on the deterministic learning (DL) theory. One key feature of the proposed scheme is its capability of accurately learning the system's nonlinear uncertain dynamics during real-time tracking control with provable stability and conver...
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作者：Qu, Chendi; He, Jianping; Duan, Xiaoming
作者单位：Shanghai Jiao Tong University
摘要：Designing controllers to generate various trajectories has been studied for years, while recently, recovering an optimal controller from trajectories receives increasing attention. In this article, we reveal that the inherent linear quadratic regulator (LQR) problem of a moving agent can be reconstructed based on its trajectory observations only, which enables one to learn the control law of the target agent autonomously. Specifically, we propose a novel inverse optimal control method to ident...
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作者：Delimpaltadakis, Giannis; Cortes, Jorge; Heemels, W. P. M. H.
作者单位：Eindhoven University of Technology; University of California System; University of California San Diego
摘要：Projected dynamical systems (PDSs) form a class of discontinuous constrained dynamical systems, and have been used widely to solve optimization problems and variational inequalities. Recently, they have also gained significant attention for control purposes, such as high-performance integrators, saturated control, and feedback optimization. In this work, we establish that locally Lipschitz continuous dynamics, involving Control Barrier Functions (CBFs), namely, CBF-based dynamics, approximate ...
