T-S fuzzy control of uncertain chaotic vibration

Article type: Research Article

Authors: Boukabou, Abdelkrim | Mansouri, Noura

Affiliations: Department of Electronics, Jijel University, BP98 Ouled Aïssa, Jijel, Algeria | Department of Electronics, Constantine University, RT Ain Elbey, Constantine, Algeria

Note: [] Corresponding author. E-mail: [email protected]

Abstract: We present in this paper a novel and unified control approach that combines intelligent fuzzy logic methodology with predictive method for controlling chaotic vibration of a class of uncertain chaotic systems. We first introduce prediction into each subsystem of Takagi Sugeno (T-S) fuzzy IF-THEN rules and then present a unified T-S predictive fuzzy model for chaos control. The proposed controller can successfully stabilize the chaos and track the desired targets. The simulation results illustrate its effectiveness.

Keywords: Chaos, Takagi Sugeno fuzzy model, nonlinear predictive control

DOI: 10.3233/SAV-2010-0637

Journal: Shock and Vibration, vol. 19, no. 3, pp. 379-389, 2012