Abstract :
With two level weighting functions, namely, crisp switching-region weighting functions and local fuzzy weighting functions, this paper introduces a discrete-time switching fuzzy system, which inherently contains the features of switched hybrid systems and Takagi-Sugeno fuzzy systems. Then, for this discrete-time switching fuzzy system, this paper proposes two new state-feedback controllers. The first one, associated with a piecewise quadratic Lyapunov function, uses time-varying information on the switching-region weighting functions. The second one, associated with a new piecewise fuzzy weighting-dependent Lyapunov function (PFWLF), uses time-varying information on the local fuzzy weighting functions as well as on the switching-region functions. Especially, with a special structure of the candidate of PFWLF, the PFWLF-based controller employs not only the current-time but also the one-step-past information on the time-varying local fuzzy weighting functions.
Keywords :
Lyapunov methods; control system synthesis; discrete time systems; fuzzy control; robust control; state feedback; Takagi-Sugeno fuzzy systems; crisp switching-region weighting functions; discrete time system; local fuzzy weighting functions; piecewise fuzzy weighting dependent Lyapunov function; piecewise quadratic Lyapunov function; semidefinite programming; stabilization; state-feedback; switching fuzzy system; Computer science education; Control engineering education; Control system synthesis; Control systems; Electronic mail; Fuzzy control; Fuzzy systems; Lyapunov method; Nonlinear systems; Time varying systems;