文章基本信息

标题：Adaptive Fuzzy Prescribed Performance Control for Strict-Feedback Stochastic Nonlinear System with Input Constraint
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作者：Yilin Ma ; Nannan Zhao ; Xinyu Ouyang 等
期刊名称：Engineering Letters
印刷版ISSN：1816-093X
电子版ISSN：1816-0948
出版年度：2021
卷号：29
期号：2
页码：650-657
语种：English
出版社：Newswood Ltd
摘要：This paper studies the tracking control and constraint control problem of strict-feedback stochastic nonlinearsystem with input saturation constraint. First, a novel errortransformation function is designed and applied to the designprocess of the prescribed performance controller, so that thesteady-state and transient performance can be guaranteed andthe error of the system can be effectively constrained. Then, aanti-trigonometric function is used to approach the system inputfunction, in this way, the controller can be designed directly bybackstepping technology. Next, the stability analysis proves thatall the signals in the closed-loop system are uniform ultimatelybounded (UUB) in probability. Lastly, the results of simulationfurther verify the effectiveness of the proposed method.
关键词：backstepping; prescribed performance control (PPC); input saturation constraint; strict-feedback stochastic nonlinear system