Fuzzy Network-based control for nonlinear systems with limited communication

Author

Kchaou, Mourad ; Toumi, Ahmed

Author_Institution

Lab. of Sci. & Tech. of Autom. control & Comput. Eng. (Lab.-STA), High Inst. op Appl. Sci. & Technol. Sousse ISSATso, Tunis, Tunisia

fYear

2013

fDate

18-21 March 2013

Firstpage

1

Lastpage

6

Abstract

This paper is concerned with the problem of stabilization of continuous-time Takagi-Sugeno (TS) fuzzy systems which are controlled through networks. Network-induced delays, data packet dropouts, and measurement quantization are simultaneously considered for Network signal-transmission. Based on the LyapunovKrasovskii functional approach and a parallel distributed compensation scheme, a delay-dependent stabilization approach is developed for the NCSs, which guarantees that the closed-loop system is asymptotically stable. Finally, an illustrative example is given to illustrate the effectiveness of the proposed design technique.

Keywords

Lyapunov methods; asymptotic stability; closed loop systems; compensation; continuous time systems; control system synthesis; delays; function approximation; fuzzy control; fuzzy systems; networked control systems; nonlinear control systems; quantisation (signal); Lyapunov Krasovskii functional approach; NCSs; asymptotic stability; closed-loop system; continuous-time Takagi-Sugeno fuzzy system stabilization problem; data packet dropouts; delay-dependent stabilization approach; fuzzy network-based control; limited communication nonlinear systems; measurement quantization; network signal-transmission; network-induced delays; parallel distributed compensation scheme; Actuators; Closed loop systems; Delays; Quantization (signal); Sensors; State feedback;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Signals & Devices (SSD), 2013 10th International Multi-Conference on

Conference_Location

Hammamet

Print_ISBN

978-1-4673-6459-1

Electronic_ISBN

978-1-4673-6458-4

Type

conf

DOI

10.1109/SSD.2013.6564133

Filename

6564133