Chaos modelling, chaos control and chaos synchronisation are active areas in chaos theory,
while research in these areas has potential applications in many fields like nonlinear optics …

This paper proposes a fuzzy logic control algorithm (FLCA) to stabilize the Rössler chaotic
dynamical system. The fuzzy logic control system is based on a Takagi-Sugeno-Kang …

Combining Takagi–Sugeno (TS) fuzzy model and impulsive control, a new approach to
control chaotic systems, namely fuzzy impulsive control, is proposed in this paper. The …

This paper proposes a new approach to the stable design of fuzzy logic control systems that
deal with a general class of chaotic processes. The stable design is carried out on the basis …

Static output-feedback stabilization of Chen's chaotic system with uncertainties is studied
from a fuzzy control approach. An uncertain Takagi–Sugeno (TS) fuzzy model for the …

This paper presents fuzzy model-based design for control and synchronization of chaotic
systems. In this framework, the chaotic systems are exactly reproduced based on a Takagi …

In this paper, we propose a fuzzy tracking control for chaotic systems with immeasurable
states. First we represent the chaotic and reference systems into T–S fuzzy models. Some …

An approach is proposed for making chaotic a given stable Takagi–Sugeno (TS) fuzzy
system using state feedback control of arbitrarily small magnitude. The feedback controller …

This paper studies the chaos synchronization of the Rikitake system based on Takagi–
Sugeno fuzzy control techniques. By employing the Lyapunov function and linear matrix …

In this paper, a time-delayed impulsive controller is constructed and the uniformly asymptotic
stability of chaotic systems based on a Takagi–Sugeno (TS) fuzzy model is investigated and …