A class of output feedback control for random nonlinear systems with Markov switching

被引：1
|
作者：
Feng, Tong [1 ]
Wan, Qiang [1 ]
Wen, Zhaoqi [1 ]
机构：
[1] Shandong Univ Sci & Technol, Coll Math & Syst Sci, Qingdao, Shandong, Peoples R China
来源：
2020 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND COMPUTER ENGINEERING (ICAICE 2020) | 2020年
关键词：
component; Random nonlinear system; Markovian switching; Output feedback; Noise to State Stability; STOCHASTIC DIFFERENTIAL-EQUATIONS; STABILITY;
D O I：
10.1109/ICAICE51518.2020.00044
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The paper studies the output feedback control problem for a class of random nonlinear system with Markovian switching. An augmented observer is constructed to estimate the unmeasurable states and the modeling errors. Meanwhile an output feedback controller is designed by back-stepping approach such that the output of the closed-loop system can be regulated to an arbitrarily small neighborhood of the origin. A simulation example is presented to demonstrate the reasonablity and efficiency of the proposed method.
引用
收藏
页码：193 / 198
页数：6
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