Title :
Stabilization and Separation Principle of Networked Control Systems Using the T–S Fuzzy Model Approach
Author :
Hongbo Li ; Ligang Wu ; Juntao Li ; Fuchun Sun ; Yuanqing Xia
Author_Institution :
Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China
Abstract :
This paper is concerned with the stabilization problem for a class of discrete-time networked control systems (NCSs) with bounded time delays and packet losses. The controlled plant is represented by a Takagi-Sugeno fuzzy model, and both the state feedback control and output feedback control cases are considered. By guaranteeing the decrement of Lyapunov functional at each control signal updating step, a less conservative stability condition for the state feedback NCSs is derived, and the corresponding stabilizing controller design method is also presented. Under an observer-based framework, the output feedback stabilization problem is further studied, where the main contribution is the development of the separation principle for NCSs. Illustrative examples are provided to show the advantage and effectiveness of the developed results.
Keywords :
Lyapunov methods; control system synthesis; discrete time systems; fuzzy control; networked control systems; observers; stability; state feedback; Lyapunov functional; NCS; T-S fuzzy model approach; Takagi-Sugeno fuzzy model; bounded time delay; control signal updating step; controller design method; discrete-time networked control systems; observer-based framework; output feedback control; output feedback stabilization problem; packet loss; separation principle; stabilization principle; state feedback control; Delay effects; Fuzzy systems; Output feedback; Packet loss; Stability criteria; State feedback; Networked control systems (NCSs); Separation Principle; Stabilization; Takagi-Sugeno (T-S) fuzzy; Takagi???Sugeno (T???S) fuzzy; separation principle; stabilization;
Journal_Title :
Fuzzy Systems, IEEE Transactions on
DOI :
10.1109/TFUZZ.2014.2382131