Title :
Non-monotonic fuzzy state feedback controller design for discrete Time T-S fuzzy systems
Author :
Derakhshan, Siavash Fakhimi ; Fatehi, Alireza ; Sharabiany, Mehrad Ghasem
Author_Institution :
Adv. Process Autom. & Control (APAC) Res. Group, K.N. Toosi Univ. of Technol., Tehran, Iran
Abstract :
In this paper a new approach is proposed to design state feedback controllers for well known T-S fuzzy systems. The used controller structure is in familiar parallel distributed compensation (PDC) format and the Lyapunov candidate is the frequently used common quadratic one. The only difference is the stability theorem used which is a revised version of Lyapunov stability theorem that relaxes monotonic condition. It is shown that the proposed method is less conservative than common quadratic method and piecewise method.
Keywords :
Lyapunov methods; compensation; control system synthesis; discrete time systems; fuzzy control; fuzzy systems; stability; state feedback; Lyapunov candidate; Lyapunov stability theorem; PDC; controller structure; discrete time T-S fuzzy systems; monotonic condition relaxation; nonmonotonic fuzzy state feedback controller design; parallel distributed compensation format; Asymptotic stability; Fuzzy systems; Linear matrix inequalities; Lyapunov methods; Stability analysis; State feedback; Symmetric matrices; Discrete time Takagi-Sugeno fuzzy dynamic systems; Linear Matrix Inequalities (LMI); Non-monotonic Lyapunov function; Stabilization;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on
Conference_Location :
Sichuan
Print_ISBN :
978-1-4673-0025-4
DOI :
10.1109/FSKD.2012.6234216