Global Output-Feedback Prescribed Performance Control of Nonlinear Systems With Unknown Virtual Control Coefficients

• 成果类型: Article
• 署名作者: Zhang, Jin-Xi; Wang, Qing-Guo; Ding, Wei
• 署名单位: Northeastern University - China; Beijing Normal University; Beijing Normal-Hong Kong Baptist University; Suzhou University of Technology
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2021.3137103
• 发表日期: 2022
• 页码: 6904-6911
• 关键词: Global property; Nonlinear systems; prescribed tracking performance; unknown virtual control coefficients

摘要

This article is concerned with the output-feedback tracking control problem for a class of nonlinear systems. The challenge lies in how to drive the tracking error to a prescribed region in a given time globally, under both unknown nonlinear functions and unknown virtual control coefficients. To deal with the unknown control direction, an orientation function is exploited in lieu of the Nussbaum gain technique, the supervisory switching strategy, and the parameter estimation approach. To attain global tracking performance, a tuning function is employed to adjust the tracking error, and a barrier function is used to combat this error. The resulting controller guarantees the prescribed tracking performance and the boundedness of the signals in the closed loop for any initial condition.