Title :
Continuous Takagi–Sugeno´s Models: Reduction of the Number of LMI Conditions in Various Fuzzy Control Design Technics
Author :
Delmotte, F. ; Guerra, T.M. ; Ksantini, M.
Author_Institution :
Univ. de Valenciennes, Valenciennes
fDate :
6/1/2007 12:00:00 AM
Abstract :
Fuzzy models of the Takagi-Sugeno type enable representation of a wide class of nonlinear models. Conditions about their stabilization can be derived systematically. Usually these conditions are written as linear matrix inequality (LMI) problems. In this paper, we use a collection of properties concerning matrices to extend the area of solutions involving the feedback control laws. We will work out with continuous fuzzy models, and supply results about the stabilization, the regulator problem, and also Hinfin control. Solutions based on a reduced number of decision variables, implying a reduced number of LMI conditions, are also proposed. We show that a good tradeoff can been obtained.
Keywords :
Hinfin control; control system synthesis; feedback; fuzzy control; linear matrix inequalities; continuous Takagi-Sugeno models; continuous fuzzy models; feedback control; fuzzy control design technics; linear matrix inequality problems; Feedback control; Fuzzy control; Linear matrix inequalities; Lyapunov method; Nonlinear systems; Output feedback; Regulators; Riccati equations; State feedback; State-space methods; Fuzzy models; Lyapunov approach; linear matrix inequality (LMI); nonlinear control; robust control;
Journal_Title :
Fuzzy Systems, IEEE Transactions on
DOI :
10.1109/TFUZZ.2006.889829