Title :
A new computational approach to stability analysis and synthesis of linguistic fuzzy control system
Author_Institution :
Sch. of Electr. & Electron. Eng., Yonsei Univ., Seoul, South Korea
fDate :
6/1/2004 12:00:00 AM
Abstract :
In this paper, stability analysis and synthesis of the type-II (Singleton-type) linguistic fuzzy control system are addressed. First, stability theorems are given for both continuous-time case and discrete-time case and they are recast in the formulation of bilinear matrix inequalities (BMIs). Continuous and discrete iterative linear matrix inequality methods are presented to obtain the feasible solution for the stability conditions represented as the BMI. The interesting feature of this paper is that the suggested method can be applied not only to the stability analysis but also to the controller synthesis. When it is applied to the synthesis of the type-II fuzzy logic controller, the resulting one can theoretically guarantee the stability of the closed-loop system. Finally, the effectiveness of the suggested method is illustrated via computer simulation.
Keywords :
closed loop systems; computational linguistics; control system analysis; control system synthesis; fuzzy control; iterative methods; linear matrix inequalities; stability; bilinear matrix inequalities; closed loop system; controller synthesis; fuzzy logic controller; iterative linear matrix inequality; linguistic fuzzy control systems; stability analysis; stability synthesis; Application software; Computer simulation; Control system synthesis; Fuzzy control; Fuzzy logic; Fuzzy systems; Humans; Iterative methods; Linear matrix inequalities; Stability analysis; BMIs; Bilinear matrix inequalities; ILMI; LMI; Singleton consequents; iterative linear matrix inequality; linear matrix inequality; type-II fuzzy system;
Journal_Title :
Fuzzy Systems, IEEE Transactions on
DOI :
10.1109/TFUZZ.2004.825072