Title :
L2 robust stability analysis for the fuzzy feedback linearization regulator
Author :
Kang, Hyung-Jin ; Kwon, Cheol ; Yee, Yang-Hee ; Park, Mignon
Author_Institution :
Dept. of Electron. Eng., Yonsei Univ., Seoul, South Korea
Abstract :
Using Takagi-Sugeno fuzzy model, feedback linearisation which is widely used in nonlinear control theory can be applied to fuzzy control. If perfect linearization can be obtained, the stability can be analysed by linear system theory. However, since modeling uncertainty and disturbance affect the stability, the robust stability analysis is needed to deal with uncertainty. In this paper, the sufficient L2 robust stability condition is derived from the multivariable circle criterion. A simple example illustrates the proposed method
Keywords :
feedback; fuzzy control; limit cycles; linearisation techniques; multivariable control systems; nonlinear systems; robust control; L2 control; SISO nonlinear systems; Takagi-Sugeno fuzzy model; feedback linearization; fuzzy control; modeling uncertainty; multivariable circle criterion; robust stability; sufficient condition; Adaptive control; Electronic mail; Feedback; Fuzzy control; Programmable control; Regulators; Robust stability; Stability analysis; Takagi-Sugeno model; Uncertainty;
Conference_Titel :
Fuzzy Systems, 1997., Proceedings of the Sixth IEEE International Conference on
Conference_Location :
Barcelona
Print_ISBN :
0-7803-3796-4
DOI :
10.1109/FUZZY.1997.616381
