Title :
Affine TS-Model-Based Optimal Fuzzy Regulating Control
Author :
Wu, Shinq-Jen ; Wu, Cheng-Tao
Author_Institution :
Dept. of Electr. Eng., Da-Yeh Univ., Chang-Hwa
Abstract :
Affine T-S fuzzy system is much preferred than linear type in providing one more adjustable parameter for computation-intelligent (neural-fuzzy-evolution) modelling of mode-free physical system or highly nonlinear and complex model-based system. However, few researches are devoted in intrinsic analysis of affine-type fuzzy system and in developing controllers to regulate affine TS-based nonlinear systems. In this paper, the affine-type global optimal fuzzy control design scheme is theoretically derived. The generated closed-loop fuzzy systems are demonstrated to be stable. The performance of the proposed fuzzy controller is demonstrated via two nonlinear systems. Simulation results show the proposed controller can stabilize the affine fuzzy system in very short time
Keywords :
closed loop systems; control system synthesis; fuzzy control; fuzzy systems; nonlinear control systems; optimal control; stability; affine T-S fuzzy system; closed-loop fuzzy system; nonlinear system; optimal fuzzy control design; optimal fuzzy regulating control; stability; Control systems; Fuzzy control; Fuzzy systems; Linear matrix inequalities; Mathematical model; Nonlinear control systems; Nonlinear systems; Optimal control; Performance analysis; Sliding mode control;
Conference_Titel :
Cybernetics and Intelligent Systems, 2006 IEEE Conference on
Conference_Location :
Bangkok
Print_ISBN :
1-4244-0023-6
DOI :
10.1109/ICCIS.2006.252238
