Yuanyuan Xu, Xin Cai, Xingzhi Chen, Bingpeng Gao, Xinyuan Nan
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Distributed NE Seeking for Networked Euler-Lagrange Systems With Constrained Communication
The paper studies the distributed Nash equilibrium (NE) seeking problem for noncooperative games of networked Euler-Lagrange systems with unknown parameters. Unlike the existing work based on the tracking method, resorting to a sliding-mode extended state observer for the estimation of unknown parts in the Euler-Lagrange system, a distributed algorithm is proposed to seek NE of the game. Moreover, to facilitate the practical applications of the designed continuous-time algorithm, a local event-triggered communication scheme is presented to alleviate communication burden. Finally, the formation of networked Euler-Lagrange systems is taken as an example to verify the proposed algorithm.
期刊介绍:
IET Control Theory & Applications is devoted to control systems in the broadest sense, covering new theoretical results and the applications of new and established control methods. Among the topics of interest are system modelling, identification and simulation, the analysis and design of control systems (including computer-aided design), and practical implementation. The scope encompasses technological, economic, physiological (biomedical) and other systems, including man-machine interfaces.
Most of the papers published deal with original work from industrial and government laboratories and universities, but subject reviews and tutorial expositions of current methods are welcomed. Correspondence discussing published papers is also welcomed.
Applications papers need not necessarily involve new theory. Papers which describe new realisations of established methods, or control techniques applied in a novel situation, or practical studies which compare various designs, would be of interest. Of particular value are theoretical papers which discuss the applicability of new work or applications which engender new theoretical applications.