Adaptive Weighted Control for A Class of Nonlinear Systems
Chen WX(陈万鑫); Zhang B(张弼); Sui J(眭晋); Zhao XG(赵新刚)
2021
会议日期May 22-24, 2021
会议地点Kunming, China
关键词adaptive weighted control Hammerstein-Wiener models stability simulation
页码6614-6619
英文摘要In this paper, an adaptive weighted control method for Hammerstein-Wiener nonlinear systems has been derived by considering the tracking of the references while simultaneously minimizing the control effort. Based on the parameterization model of Hammerstein-Wiener systems, parameter adaptation is implemented throughout the use of internal variable estimations. Based on these estimates, the control law is designed by analyzing a new criterion function which takes the whole nonlinear systems into account and penalizes the excessive control action according to the nonlinear gains. By simplifying the above complex control law, we obtain a simple adaptive weighted control algorithm, which reduces overshoot and oscillation effectively. The closed-loop stability and output tracking properties are analyzed to demonstrate the proposed novel concepts. Illustrative simulation results are presented to verify the effectiveness of the proposed algorithms.
产权排序1
会议录2021 33rd Chinese Control and Decision Conference (CCDC)
会议录出版者IEEE
会议录出版地New York
语种英语
ISSN号1948-9447
ISBN号978-1-6654-4089-9
内容类型会议论文
源URL[http://ir.sia.cn/handle/173321/29954]  
专题沈阳自动化研究所_机器人学研究室
通讯作者Zhang B(张弼)
作者单位1.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China
2.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
3.University of Chinese Academy of Sciences, Beijing 100049, China
推荐引用方式
GB/T 7714
Chen WX,Zhang B,Sui J,et al. Adaptive Weighted Control for A Class of Nonlinear Systems[C]. 见:. Kunming, China. May 22-24, 2021.
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