可达性
计算机科学
算法
控制理论(社会学)
标量(数学)
数学
人工智能
控制(管理)
几何学
作者
Panpan Zhang,Jun Hu,Hongxu Zhang,Dongyan Chen
标识
DOI:10.1016/j.isatra.2020.01.032
摘要
This paper addresses the problem of robust H∞ sliding mode control (SMC) for discrete delayed Markovian jumping systems subject to randomly occurring uncertainties (ROUs) and repeated scalar nonlinearities (RSNs). Here, a set of mutually independent Bernoulli distributed random variables is introduced to model the phenomenon of the ROUs, where the occurrence probabilities could be uncertain. The purpose of paper is to present an H∞ SMC strategy via the delay-fractioning approach such that, for the Markovian jumping parameters, time-varying delays, ROUs and RSNs, the mean-square stability of the resulted sliding motion with a prescribed H∞ performance can be guaranteed. Subsequently, the robust sliding mode controller is synthesized to guarantee that the reachability condition in the discrete-time setting is ensured. Finally, the validity of proposed robust SMC strategy is verified by providing a simulation example.
科研通智能强力驱动
Strongly Powered by AbleSci AI