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输入饱和及输出受限的纯反馈非线性系统控制
引用本文:张春蕾,王立东,高闯,陈雪波.输入饱和及输出受限的纯反馈非线性系统控制[J].控制工程,2021,28(3):531-539.
作者姓名:张春蕾  王立东  高闯  陈雪波
作者单位:辽宁科技大学电子与信息工程学院,辽宁鞍山114051
基金项目:国家自然科学基金项目(71571091,71771112)。
摘    要:针对具有输入饱和和输出受限的纯反馈非线性系统,设计了神经网络自适应控制器.首先利用隐函数定理和中值定理将非仿射形式的纯反馈非线性系统转换成有显式输入的非线性系统,基于李雅普诺夫第二方法以及反推法并采用障碍型李雅普诺夫函数进行控制器的设计,最后通过稳定性分析证明了闭环控制系统是半全局一致最终有界的,利用仿真例子验证了控制...

关 键 词:纯反馈系统  输入饱和  输出受限  神经网络

Pure Feedback Nonlinear System Control with Input Saturation and Output Constraints
ZHANG Chun-lei,WANG Li-dong,GAO Chuang,CHEN Xue-bo.Pure Feedback Nonlinear System Control with Input Saturation and Output Constraints[J].Control Engineering of China,2021,28(3):531-539.
Authors:ZHANG Chun-lei  WANG Li-dong  GAO Chuang  CHEN Xue-bo
Affiliation:(School of Elecronic and Information Engineering,University of Science and Technology Liaoning,Anshan 114051,Liaoning)
Abstract:A neural network adaptive controller is designed for pure feedback nonlinear systems with input saturation and output constraints. Firstly, using the implicit function theorem and the mean value theorem, the pure feedback nonlinear system in non-affine form is transformed into a nonlinear system with explicit input. Based on Lyapunov’s second method and backstepping method, the barrier Lyapunov function is used to design the controller. Finally, the stability analysis proves that the closed-loop control system is bounded by the semi-global consistent termination. The effectiveness of the control scheme is verified by the simulation example.
Keywords:Pure feedback system  input saturation  output constraints  neural network
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