反推
控制理论(社会学)
非线性系统
李雅普诺夫函数
计算机科学
理论(学习稳定性)
控制器(灌溉)
状态变量
转化(遗传学)
集合(抽象数据类型)
国家(计算机科学)
严格反馈表
控制(管理)
自适应控制
算法
物理
量子力学
人工智能
生物化学
化学
机器学习
基因
农学
生物
程序设计语言
热力学
作者
Chenghui Zhang,Le Chang,Lantao Xing,Xianfu Zhang
出处
期刊:IEEE/CAA Journal of Automatica Sinica
[Institute of Electrical and Electronics Engineers]
日期:2023-02-01
卷期号:10 (2): 403-410
被引量:7
标识
DOI:10.1109/jas.2023.123408
摘要
This paper presents a novel fixed-time stabilization control (FSC) method for a class of strict-feedback nonlinear systems involving unmodelled system dynamics. The key feature of the proposed method is the design of two dynamic parameters. Specifically, a set of auxiliary variables is first introduced through state transformation. These variables combine the original system states and the two introduced dynamic parameters, facilitating the closed-loop system stability analyses. Then, the two dynamic parameters are delicately designed by utilizing the Lyapunov method, ensuring that all the closed-loop system states are globally fixed-time stable. Compared with existing results, the “explosion of complexity” problem of backstepping control is avoided. Moreover, the two designed dynamic parameters are dependent on system states rather than a time-varying function, thus the proposed controller is still valid beyond the given fixed-time convergence instant. The effectiveness of the proposed method is demonstrated through two practical systems.
科研通智能强力驱动
Strongly Powered by AbleSci AI