Title :
Robust Output Regulation of T--S Fuzzy Systems With Multiple Time-Varying State and Input Delays
Author :
Chiu, Chian-song ; Chiang, Tung-sheng
Author_Institution :
Dept. of Electr. Eng., Chung-Yuan Christian Univ., Chungli, Taiwan
Abstract :
This paper proposes a robust output regulator design for Takagi-Sugeno (T-S) fuzzy systems with uncertain time delays. For generalization of the control problem, we assume that there exist affine dynamics, unknown multiple time-varying delays in state and input, uncertain parameters, disturbance, and partial state feedback. Both continuous-time and discrete-time cases are considered in a unified theoretical derivation. Here, we introduce a memoryless fuzzy observer and a fuzzy integral compensator. In comparison with previous studies, the proposed scheme drops the need for coordinate transformation, calculation of the desired operational point, which is known state and input delays, and exact fuzzy modeling. The control result is asymptotic output regulation for systems without disturbance and guaranteed H infin performance for systems with disturbance. Moreover, a piecewise constant output regulation is achieved without controller redesign. In addition, the developed fuzzy regulator can be applied to both affine and nonaffine uncertain time-delay systems. Finally, numerical simulations are performed by using two typical time-delay systems to validate the expected performance.
Keywords :
Hinfin control; asymptotic stability; compensation; continuous time systems; control system synthesis; delay systems; discrete systems; fuzzy control; fuzzy systems; robust control; state feedback; time-varying systems; Hinfin performance; T-S fuzzy system; affine dynamics; continuous time system; discrete time system; fuzzy integral compensator; fuzzy observer; input delay; partial state feedback; robust output regulation design; time-varying state; uncertain parameter; uncertain time delay system; Input delay; Takagi–Sugeno (T–S) fuzzy model; output regulation; time-varying delay; uncertainty;
Journal_Title :
Fuzzy Systems, IEEE Transactions on
DOI :
10.1109/TFUZZ.2009.2017013