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作者：Mao, Xiangyu; He, Jianping
作者单位：Shanghai Jiao Tong University
摘要：How to make a dynamic system unidentifiable is an important but still open issue. It not only requires that the parameters of the systems but also the equivalent systems cannot be identified by any identification approaches. Thus, it is a much more challenging problem than the existing analysis of parameter unidentifiability. In this article, we focus on the condition for dynamic unidentifiability for an arbitrarily parameterized system and design the controller to make the system dynamics uni...
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作者：Yan, Jing; Lin, Jingsheng; Yang, Xian; Chen, Cailian; Guan, Xinping
作者单位：Yanshan University; Shanghai Jiao Tong University
摘要：Detection and tracking of underwater target play an important role in enhancing the marine sensing ability. Currently, the above mission is usually conducted in a single platform, and there is a lack of necessary cooperation between different platforms. This article employs unmanned aerial/surface/underwater vehicles (UAV-USV-UUV) to develop a cooperation detection and tracking solution for underwater target. We first use the measure theory to construct a heterogeneous detection mode, such tha...
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作者：Liu, Jinhao; Yang, Jun; Yan, Yunda; Tan, Yuan; Wang, Xiangyu; Li, Shihua
作者单位：Southeast University - China; Southeast University - China; Loughborough University; University of London; University College London
摘要：The constrained output regulation problems of discrete-time linear systems are studied under the model predictive control framework. The unique feature of the proposed control approach lies in addressing the technical challenges related to recursive feasibility of the optimization problem and stability of the closed-loop system posed by exogenous signal estimation and estimation errors. First, the original system is transformed into a new dynamic system by means of regulator equations and dist...
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作者：Luo, Jialei; Liu, Wei
作者单位：South China University of Technology
摘要：In this article, we consider the leader-following consensus problem with prescribed performance for general linear multiagent systems. To solve this problem, we construct a distributed state feedback control law on the basis of some barrier Lyapunov functions. Then, all the consensus errors are proved to converge to zero asymptotically and the time-varying prescribed performance is proved to be achieved. Finally, we give a simulation example to confirm our results.
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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：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：Greene, Max L.; Sakha, Masoud S.; Kamalapurkar, Rushikesh; Dixon, Warren E.
作者单位：Boeing; State University System of Florida; University of Florida
摘要：This article develops a technique for online approximate optimization of tracking control policies for a family of switched nonlinear dynamical systems. Optimization is realized via approximate dynamic programming, and integral concurrent learning is used for robustness to parametric uncertainties. The family of switched systems is composed of finitely many subsystems, which may have differing characteristics, such as dynamics and cost functions. This article develops a new result on the analy...
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作者：Li, Man; Qin, Jiahu; Ma, Qichao; Shi, Yang; Zheng, Wei Xing
作者单位：Chinese Academy of Sciences; University of Science & Technology of China, CAS; University of Victoria; Western Sydney University
摘要：This work studies the two-player cooperative tracking problem with the players interacting in a master-slave scheme.This problem is formulated as an asymmetric differential game, where the control strategy of the master is unmodifiable and its optimization criterion needs to be recovered. To solve this problem, we develop a learning-based algorithm involving inverse optimization and forward optimal control to estimate the master cost parameter and design the slave shared controller simultaneou...
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作者：Song, Yue; Liu, Tao; Li, Gang
作者单位：Tongji University; Tongji University; Tongji University; Tongji University; University of Hong Kong; University of Hong Kong; The University of Hong Kong Shenzhen Institute of Research & Innovation
摘要：We study the adaptive robust optimal control (AROC) problem for linear systems as an extension of finite-dimensional adaptive robust optimization problems. Given a continuous-time linear system under uncertain disturbance inputs with robust state and control constraints, the AROC problem finds the optimal control law adaptive to disturbance trajectories, which achieves the lowest worst-case cost. Then, the functional constraint generation (FCG) algorithm is designed, which extends the well-kno...
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作者：Yu, Xin; Lin, Wei
作者单位：Jiangsu Normal University; University System of Ohio; Case Western Reserve University
摘要：The purpose of this article is to address the problem of global asymptotic stabilization almost surely (GAS a.s.) by sampled-data state and output feedback, respectively, for C-0 stochastic nonlinear systems that may be neither locally Lipschitz continuous nor linear growth, and are in general not smoothly stabilizable. Applying the homogeneous systems theory in a stochastic setting, combined with the existence of solutions of hybrid stochastic homogeneous systems established recently, we prov...
