Title :
Control Synthesis of T–S Fuzzy Systems Based on a New Control Scheme
Author :
Dong, Jiuxiang ; Yang, Guang-hong
Author_Institution :
Key Lab. of Integrated Autom. of Process Ind. (Min istry of Educ.), Northeastern Univ., Shenyang, China
fDate :
4/1/2011 12:00:00 AM
Abstract :
This paper studies the control synthesis problem of Takagi-Sugeno (T--S) fuzzy systems. By splitting the premise variable spaces and using the properties of fuzzy sets, a new control scheme is proposed based on a new class of fuzzy Lyapunov functions, and a convex condition for designing fuzzy controllers is given, where the new fuzzy Lyapunov functions and fuzzy controllers are constructed based on the split subspaces. In particular, some existing fuzzy Lyapunov functions and control schemes are special cases of the new Lyapunov function and control scheme, respectively. Numerical examples are given to illustrate the effectiveness of the proposed method.
Keywords :
Lyapunov methods; control system synthesis; fuzzy control; fuzzy set theory; linear matrix inequalities; nonlinear control systems; Takagi-Sugeno fuzzy systems; control scheme; control synthesis problem; fuzzy Lyapunov functions; fuzzy controllers; fuzzy sets; linear matrix inequalities; nonlinear systems; split subspaces; Control systems; Fuzzy control; Fuzzy sets; Lyapunov method; Nonlinear systems; Stability analysis; Fuzzy control; Takagi–Sugeno (T–S) fuzzy models; fuzzy Lyapunov function; linear matrix inequalities (LMIs); nonlinear systems;
Journal_Title :
Fuzzy Systems, IEEE Transactions on
DOI :
10.1109/TFUZZ.2010.2096470