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作者：Li, Wuquan; Krstic, Miroslav
作者单位：Ludong University; University of California System; University of California San Diego
摘要：We present new prescribed-time designs for strict-feedback nonlinear systems with multiplicative measurement noise. When the noise is small and linearly vanishing, we first propose a new postulated feedback to solve the prescribed-time mean-square stabilization problem, then redesign the control gains, which is not only optimal with respect to a meaningful cost functional but also globally stabilizes the closed-loop system in the prescribed-time. When the noise is arbitrary large but vanishing...
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作者：Zhou, Bing; Huang, Xiucai; Song, Yongduan; Lewis, Frank L.
作者单位：Chongqing University
摘要：Most existing control methods for multi-input multi-output (MIMO) uncertain nonlinear systems can only achieve uniformly ultimately bounded stability with conservative controllability condition. In this note, for a larger class of uncertain MIMO strict-feedback nonlinear systems, we present a control solution with enhanced controllability condition by resorting to certain feasible auxiliary matrices, upon which a neural adaptive control scheme is developed that is able to achieve asymptotic tr...
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作者：Chen, Ci; Lewis, Frank L.; Xie, Kan; Xie, Shengli
作者单位：Guangdong University of Technology; Guangdong University of Technology; Guangdong University of Technology
摘要：As one efficient technique in reinforcement learning, policy iteration (PI) requires an initial admissible (or stabilizing for linear systems) control policy that renders the existing PI-based results to be model dependent. To attain a completely data-driven adaptive optimal control, this article suggests integrating a homotopic design with PI for unknown continuous-time nonlinear systems. Technically, we leverage a homotopic constant to construct an artificially stable system that allows zero...
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作者：Jiang, Xiaowei; Yan, Huaicheng; Li, Bo; Zheng, Shiqi; Huang, Tingwen; Shi, Peng
作者单位：China University of Geosciences; East China University of Science & Technology; Hubei University of Technology; Anhui University of Finance & Economics; Qatar Foundation (QF); Texas A&M University Qatar; University of Adelaide; Obuda University
摘要：For networked systems, the communication processes between sensors, actuators, and controllers pose many challenges such as instability and performance degradation that may result from bandwidth limitations, signal-to-noise ratio constraints, and frequent occurrences of packet loss. The constraints of these elements can negatively affect the performance of control systems. In this study, we used a fading channel model to analyze the fundamental tracking performance of a networked control syste...
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作者：Liu, Pin; Xiao, Feng; Wei, Bo; Yu, Mei
作者单位：North China Electric Power University; North China Electric Power University
摘要：This article investigates the constrained noncooperative game problems where players with individual dynamics are subject to local strategy set constraints and global nonlinear inequality constraints. The cost function of each player depends on the strategies of all players and is only locally accessible to the player. With only the local information, players estimate all others' strategies and deal with coupled constraints by communicating with their neighbors in a graph. To avoid the usage o...
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作者：Mondal, Saikat; Behera, Abhisek K.
作者单位：Indian Institute of Technology System (IIT System); Indian Institute of Technology (IIT) - Roorkee
摘要：This article deals with the practical state estimation for an uncertain dynamical system under feedback constraints. We propose an event-triggered sliding mode observer to estimate the states in the practical sense, i.e., arbitrary steady-state bound can be achieved for the estimation error irrespective of the disturbance signal. A new sliding mode observer is proposed with the discontinuous output error injection vector of the same order as that of the disturbance vector; therefore the observ...
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作者：Vaidya, Umesh; Tellez-Castro, Duvan
作者单位：Clemson University
摘要：In this article, we provide a data-driven framework for optimal control of a continuous-time control-affine stochastic dynamical system. The proposed framework relies on the linear operator theory involving Perron-Frobenius (P-F) and Koopman operators. Our first result involving the P-F operator provides a convex formulation to the optimal control problem in the dual space of densities. This convex formulation of the stochastic optimal control problem leads to an infinite-dimensional convex pr...
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作者：Yan, Rui; Deng, Ruiliang; Lai, Haowen; Zhang, Weixian; Shi, Zongying; Zhong, Yisheng
作者单位：Tsinghua University
摘要：This article studies a planar Homicidal Chauffeur reach-avoid differential game, where the pursuer is a Dubins car and the evader has simple motion. The pursuer aims to protect a goal region from the evader. The game is solved in an analytical approach instead of solving Hamilton-Jacobi-Isaacs equations numerically. First, an evasion region is introduced, based on which a pursuit strategy guaranteeing the winning of a simple-motion pursuer under specific conditions is proposed. Motivated by th...
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作者：Bonilla-Licea, Moise; Bonilla, Moises E.
作者单位：CINVESTAV - Centro de Investigacion y de Estudios Avanzados del Instituto Politecnico Nacional
摘要：In this article, we tackle the mean value control of a diatomic molecule. This problem is treated as a behavioral reachability problem. The control law is synthesized with an operator extracted from the characteristic polynomial of the system. This operator is applied to a Fourier series. The initial and final conditions are, respectively, adjusted with cosinus and sinus terms. We illustrate our results with an HCI molecule.
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作者：Zou, Wencheng; Zhou, Jiantao
作者单位：Nanjing University of Science & Technology; University of Macau; University of Macau
摘要：In the existing works on multiagent systems with neural-network-based protocols, it is usually assumed that states of all agents are within a compact set so that the approximation accuracy can be guaranteed. However, such an assumption means these protocols may only work if the agents' initial state values are set within a small enough neighborhood of the origin. This article develops a novel neural-network-based consensus protocol for a class of nonlinear multiagent systems. It is strictly pr...
