Title :
Robust stability analysis of PD type single input interval type-2 fuzzy control systems
Author_Institution :
Control & Autom. Eng. Dept., Istanbul Tech. Univ., Istanbul, Turkey
Abstract :
In this paper, the robust stability of a PD type Single input Interval Type-2 Fuzzy Logic Controller (SIT2-FLC) structure will be examined via the well-known Popov criterion and Lyapunov´s direct method approach. Since a closed form formulation of the SIT2-FLC output is possible, the type-2 fuzzy functional mapping is analyzed in a two dimensional domain. Thus, mathematical derivations are presented to show that type-2 fuzzy functional mapping is a symmetrical function and always sector bounded. Consequently, the type-2 fuzzy system can be transformed into a perturbed Lur´e system to examine its robust stability. It has been proven that the stability of the PD type SIT2-FLC system is guaranteed with the aids of the Popov-Lyapunov method. A robustness measure of the type-2 fuzzy control system is also presented to give the bound of allowable uncertainties/ nonlinearities of the control system. Moreover, if this bound is known, the exact region of stability of the type-2 fuzzy system can be found since SIT2-FLC output can be presented in a closed form. An illustrate example is presented to demonstrate the robust stability analysis of the PD type SIT2-FLC system.
Keywords :
Lyapunov methods; PD control; Popov criterion; control nonlinearities; control system analysis; fuzzy control; stability; Lyapunov direct method; PD type single input interval type-2 fuzzy control systems; Popov criterion; Popov-Lyapunov method; SIT2-FLC structure; closed form formulation; control system nonlinearities; control system uncertainties; perturbed Lur´e system; robust stability analysis; single input interval type-2 fuzzy logic controller; symmetrical function; type-2 fuzzy functional mapping; Equations; Fuzzy control; Mathematical model; Robust stability; Robustness; Stability analysis; Interval type-2 fuzzy logic controllers; Lur´e system; Robust stability;
Conference_Titel :
Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-2073-0
DOI :
10.1109/FUZZ-IEEE.2014.6891616