DocumentCode :
2973078
Title :
Passive fuzzy controller design for a model car via discrete T-S fuzzy model with multiplicative noise
Author :
Chang, Wen-Jer ; Chen, Min-Wei ; Ku, Cheung-Chieh
Author_Institution :
Dept. of Marine Eng., Nat. Taiwan Ocean Univ., Keelung, Taiwan
fYear :
2009
fDate :
22-24 June 2009
Firstpage :
1193
Lastpage :
1198
Abstract :
This paper deals with steering control problem of a computer simulated model car with fuzzy control approach. For simulating the real environment, the stochastic behavior of system is considered as multiplicative noise term. In addition, the external disturbance effect on system is also discussed for achieving attenuation performance by applying passivity theory. Through using the Takagi-Sugeno (T-S) fuzzy model approach, the stability problems of nonlinear system can be solved by linear control theory. Furthermore, the stability condition is derived by passivity theory and Lyapunov function for guaranteeing stability in sense of mean square. Besides, the fuzzy controller is carried out by concept of Parallel Distribution Compensator (PDC). Finally, the simulation results are proposed to show that the strictly input passivity and mean square stability of system can be achieved via the designed fuzzy controller.
Keywords :
Lyapunov methods; automobiles; control system synthesis; fuzzy control; mean square error methods; nonlinear control systems; stability; Lyapunov function; Takagi-Sugeno fuzzy model approach; discrete T-S fuzzy model; linear control theory; mean square; model car; multiplicative noise term; nonlinear system; parallel distribution compensator; passive fuzzy controller design; passivity theory; stability condition; stochastic behavior; Attenuation; Computational modeling; Computer simulation; Fuzzy control; Fuzzy systems; Stability; Stochastic resonance; Stochastic systems; Takagi-Sugeno model; Working environment noise;
fLanguage :
English
Publisher :
ieee
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
Type :
conf
DOI :
10.1109/ICINFA.2009.5205098
Filename :
5205098
Link To Document :
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