稳健性(进化)
控制理论(社会学)
滑模控制
计算机科学
李雅普诺夫函数
Lyapunov稳定性
终端滑动模式
鲁棒控制
指数稳定性
控制工程
趋同(经济学)
工程类
控制系统
控制(管理)
非线性系统
人工智能
物理
经济增长
电气工程
生物化学
基因
经济
量子力学
化学
作者
Xinghuo Yu,Yong Feng,Zhihong Man
标识
DOI:10.1109/ojies.2020.3040412
摘要
Sliding mode control (SMC) has been a very popular control technology due to its simplicity and robustness against uncertainties and disturbances since its inception more than 60 years ago. Its very foundation of stability and stabilization is built on the principle of the Lyapunov theory which ascertains asymptotic stability. In the 1990s, a novel class of SMC, called the terminal sliding mode control (TSMC), was proposed which has been studied and applied extensively, giving rise to a robust control with tunable finite-time convergence delivering fast response, high precision, and strong robustness. In recent years, interest in this particular control technology has been increasing. This paper provides an overview of the state of the art of the TSMC theory and its applications, and postulates key technical issues and future challenges.
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