Title :
Quantized Control Design for Impulsive Fuzzy Networked Systems
Author :
Zhang, Hao ; Yan, Huaicheng ; Yang, Fuwen ; Chen, Qijun
Author_Institution :
Dept. of Control Sci. & Eng., Tongji Univ., Shanghai, China
Abstract :
In this paper, a continuous-time Takagi-Sugeno (T-S) fuzzy system with impulsive effects that are controlled through network is investigated. Network signal-transmission delays and signal-quantization effects are simultaneously considered. The network is with two time-varying additive delays and limited capacity. First, a quantized output-feedback networked control system (NCS) model is established to describe the impulsive NCSs through a channel with limited capacity. Then, based on the Lyapunov-Krasovskii functional approach and a parallel-distributed compensation scheme, a delay-dependent stabilization approach is developed for the impulsive NCSs, which guarantees that the closed-loop system is asymptotically stable. Finally, a simulation example is given to illustrate the effectiveness of the proposed method.
Keywords :
Lyapunov methods; asymptotic stability; closed loop systems; compensation; continuous time systems; control system synthesis; delays; feedback; fuzzy control; Lyapunov-Krasovskii functional approach; asymptotic stability; closed-loop system; continuous-time Takagi-Sugeno system; delay-dependent stabilization approach; impulsive fuzzy networked system; network signal-transmission delay; output-feedback networked control system; parallel-distributed compensation scheme; quantized control design; signal-quantization effect; time-varying additive delay; Delay; Fuzzy control; Networked control systems; Output feedback; Quantization; Symmetric matrices; Takagi-Sugeno model; Fuzzy system; impulsive effects; quantized control; stabilization; time delay;
Journal_Title :
Fuzzy Systems, IEEE Transactions on
DOI :
10.1109/TFUZZ.2011.2162525
