scholarly journals Handling of nonlinear systems using filtered high-gain output feedback controller

2018 ◽  
Vol 28 (18) ◽  
pp. 6070-6086 ◽  
Author(s):  
Tong Ma ◽  
Yuqian Liu ◽  
Cyuansi Shih ◽  
Chengyu Cao
2013 ◽  
Vol 2013 ◽  
pp. 1-10
Author(s):  
Liu Jianwei ◽  
Guo Longchuan ◽  
Zuo Xin ◽  
Liang Huaqing

This paper investigates the problem of output-feedback stabilization for a class of stochastic nonlinear systems in which the nonlinear terms depend on unmeasurable states besides measurable output. We extend linear growth conditions to power growth conditions and reduce the control effort. By using backstepping technique, choosing a high-gain parameter, an output-feedback controller is designed to ensure the closed-loop system to be globally asymptotically stable in probability, and the inverse optimal stabilization in probability is achieved. The efficiency of the output-feedback controller is demonstrated by a simulation example.


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