文章基本信息

标题：Adaptive Prescribed Performance Control of Uncertain Nonlinear Systems with Input Saturations
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作者：Nannan Zhao ; Xinyu Ouyang ; Libing Wu 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：493-501
语种：English
出版社：Newswood Ltd
摘要：This paper is concerned with the problem ofprescribed performance control (PPC) for a class of strictfeedback nonlinear systems, in which uncertain nonlinearityand uncertain disturbance exist in the considered nonlinearsystem at the same time, and the input control signal ofthe system is constrained by saturation nonlinearity. Theadaptive neural network is used to approximate all unknownnonlinearity of the closed-loop system. And a new class of errortransformation functions is proposed for the first time, which issuperior to other similar documents in that the output error canalways be constrained by the prescribed band only accordingto the properties of the designed error transformation functionwithout any additional conditions. The simulation results finallyverify the effectiveness of the proposed algorithm.
关键词：Adaptive neural control; backstepping design; nonsymmetric input saturation; prescribed performance control (PPC)