Title :
Finite-Time
Fuzzy Control of Nonlinear Jump Systems With Time Delays Via Dynamic Observer-Based State Feedback
Author :
He, Shuping ; Liu, Fei
Author_Institution :
Key Lab. of Intell. Comput. & Signal Process. (Minist. of Educ.), Anhui Univ., Hefei, China
Abstract :
This paper studies the finite-time H∞ control problem for time-delay nonlinear jump systems via dynamic observer-based state feedback by the fuzzy Lyapunov-Krasovskii functional approach. The Takagi-Sugeno (T-S) fuzzy model is first employed to represent the presented nonlinear Markov jump systems (MJSs) with time delays. Based on the selected Lyapunov-Krasovskii functional, the observer-based state feedback controller is constructed to derive a sufficient condition such that the closed-loop fuzzy MJSs is finite-time bounded and satisfies a prescribed level of H∞ disturbance attenuation in a finite time interval. Then, in terms of linear matrix inequality (LMIs) techniques, the sufficient condition on the existence of the finite-time H∞ fuzzy observer-based controller is presented and proved. The controller and observer can be obtained directly by using the existing LMIs optimization techniques. Finally, a numerical example is given to illustrate the effectiveness of the proposed design approach.
Keywords :
H∞ control; closed loop systems; delays; fuzzy control; linear matrix inequalities; nonlinear control systems; observers; state feedback; time-varying systems; H∞ disturbance attenuation; LMI technique; Takagi-Sugeno fuzzy model; closed-loop fuzzy MJS; dynamic observer-based state feedback controller; finite-time H∞ fuzzy control; fuzzy Lyapunov-Krasovskii functional approach; linear matrix inequality techniques; nonlinear Markov jump systems; nonlinear jump systems; time delays; Linear matrix inequalities; Markov processes; Observers; Power system dynamics; State feedback; Symmetric matrices; Finite-time $H_{infty}$ control; Markov jump systems (MJSs); Takagi–Sugeno (T–S) fuzzy model; linear matrix inequalities (LMIs); observer-based state feedback;
Journal_Title :
Fuzzy Systems, IEEE Transactions on
DOI :
10.1109/TFUZZ.2011.2177842