Title :
Stability analysis of discrete-time fuzzy dynamic systems based on piecewise Lyapunov functions
Author_Institution :
Dept. of Manuf. Eng. & Eng. Manage., City Univ. of Hong Kong, China
Abstract :
This paper presents a stability analysis method for discrete-time Takagi-Sugeno fuzzy dynamic systems based on a piecewise smooth Lyapunov function. It is shown that the stability of the fuzzy dynamic system can be established if a piecewise Lyapunov function can be constructed, and moreover, the function can be obtained by solving a set of linear matrix inequalities that is numerically feasible with commercially available software. It is also demonstrated via numerical examples that the stability result based on the piecewise quadratic Lyapunov functions is less conservative than that based on the common quadratic Lyapunov functions.
Keywords :
Lyapunov methods; discrete time systems; fuzzy control; fuzzy systems; inference mechanisms; linear matrix inequalities; stability criteria; state-space methods; Takagi-Sugeno systems; discrete-time fuzzy dynamic systems; fuzzy control; fuzzy inference rules; linear matrix inequalities; piecewise Lyapunov functions; stability analysis method; state-space partition; Boundary conditions; Control systems; Equations; Fuzzy control; Fuzzy systems; Humans; Linear matrix inequalities; Lyapunov method; Nonlinear control systems; Stability analysis;
Journal_Title :
Fuzzy Systems, IEEE Transactions on
DOI :
10.1109/TFUZZ.2003.819833