Robust Stabilization of Nonlinear Systems Modeled with Piecewise Bilinear Systems Based on Feedback Linearization

2012 ◽  
pp. 111-120 ◽  
Author(s):  
Tadanari Taniguchi ◽  
Michio Sugeno
Keyword(s):  
Nonlinear Systems ◽  
Feedback Linearization ◽  
Robust Stabilization ◽  
Bilinear Systems

scholarly journals Data-Driven Robust Stabilization with Robust DOA Enlargement for Nonlinear Systems

2020 ◽  
Vol 53 (2) ◽  
pp. 5877-5882
Author(s):  
Chaolun Lu ◽  
Yongqiang Li ◽  
Zhongsheng Hou ◽  
Yuanjing Feng ◽  
Yu Feng ◽  
...  
Keyword(s):  
Nonlinear Systems ◽  
Robust Stabilization ◽  
Data Driven

Robust stabilization of a class of time-delay nonlinear systems with Markovian jump

2017 ◽  
Author(s):  
Qian Wang ◽  
Zhongfeng Wang ◽  
Ligang Li ◽  
Jianlong Huang ◽  
Fudong Wang
Keyword(s):  
Time Delay ◽  
Nonlinear Systems ◽  
Robust Stabilization ◽  
Markovian Jump

scholarly journals A Fuzzy Approach to Robust Control of Stochastic Nonaffine Nonlinear Systems

2012 ◽  
Vol 2012 ◽  
pp. 1-17 ◽  
Author(s):  
Ting-Ting Gang ◽  
Jun Yang ◽  
Qing Gao ◽  
Yu Zhao ◽  
Jianbin Qiu
Keyword(s):  
Nonlinear Systems ◽  
Robust Stabilization ◽  
Linear Matrix ◽  
Dynamic Feedback ◽  
Stabilization Problem ◽  
Fuzzy Models ◽  
Quadratic Lyapunov Functions ◽  
Affine Nonlinear Systems ◽  
Semiglobal Stabilization ◽  
Approximation Capability

This paper investigates the stabilization problem for a class of discrete-time stochastic non-affine nonlinear systems based on T-S fuzzy models. Based on the function approximation capability of a class of stochastic T-S fuzzy models, it is shown that the stabilization problem of a stochastic non-affine nonlinear system can be solved as a robust stabilization problem of the stochastic T-S fuzzy system with the approximation errors as the uncertainty term. By using a class of piecewise dynamic feedback fuzzy controllers and piecewise quadratic Lyapunov functions, robust semiglobal stabilization condition of the stochastic non-affine nonlinear systems is formulated in terms of linear matrix inequalities. A simulation example illustrating the effectiveness of the proposed approach is provided in the end.

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