Title :
Observer-based H∞ fuzzy control design for discrete-time stochastic T-S fuzzy model with multiplicative noise
Author :
Chang, Wen-Jer ; Wu, Wen-Yuan ; Ku, Cheung-Chieh
Author_Institution :
Dept. of Marine Eng., Nat. Taiwan Ocean Univ., Keelung, Taiwan
Abstract :
This paper introduces an observer-based Hinfin fuzzy control design method for discrete-time nonlinear systems with multiplicative noise. First, the Takagi-Sugeno (T-S) fuzzy model is employed to approximate a nonlinear discrete-time system with multiplicative noise. Secondly, the stability conditions are derived via Lyapunov function to analyze the stability and Hinfin performance of system. Thirdly, the standard two-step method is adopted to separately obtain the controller gain matrices and the observer gain matrices by solving two sets of linear matrix inequalities (LMIs). Finally, a numerical simulation is given to demonstrate the application of the proposed approach.
Keywords :
Hinfin control; Lyapunov methods; control system synthesis; discrete time systems; fuzzy control; fuzzy systems; linear matrix inequalities; nonlinear control systems; observers; stochastic systems; Lyapunov function; controller gain matrices; discrete-time stochastic Takagi-Sugeno fuzzy model; linear matrix inequalities; multiplicative noise; nonlinear discrete-time system; observer gain matrices; observer-based Hinfin fuzzy control design; stability conditions; Design methodology; Fuzzy control; Fuzzy systems; Linear matrix inequalities; Lyapunov method; Nonlinear systems; Numerical simulation; Performance analysis; Stability analysis; Takagi-Sugeno model; H∞ control; linear matrix inequalities (LMIs); observer-based stochastic T-S fuzzy model;
Conference_Titel :
Information and Automation, 2009. ICIA '09. International Conference on
Conference_Location :
Zhuhai, Macau
Print_ISBN :
978-1-4244-3607-1
Electronic_ISBN :
978-1-4244-3608-8
DOI :
10.1109/ICINFA.2009.5205126