Control of nonlinear multivariable systems is very challenging in the area of systems and
control. This paper is concerned with a framework that unifies sliding mode control (SMC) …

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 …

This paper proposes a robust adaptive sliding mode control strategy for an introduced class
of uncertain chaotic systems. Using the sliding mode control technique and based on …

Most physical systems inherently contain nonlinearities which are commonly unknown to the
system designer. Therefore, in modeling and analysis of such dynamic systems, one needs …

In this paper, we focus on the synchronization between integer-order chaotic systems and a
class of fractional-order chaotic system using the stability theory of fractional-order systems …

Deep reinforcement learning (DRL) algorithms are suitable for modeling and controlling
complex systems. Methods for controlling chaos, a difficult task, require improvement. In this …

This paper focuses on chaos analysis-based adaptive backstepping control of the
microelectromechanical resonators. To better understand the deep-rooted operational …

This paper proposes a self-organizing adaptive fuzzy neural control (SAFNC) for the
synchronization of uncertain chaotic systems with random-varying parameters. The …

In this paper, a fuzzy adaptive variable-structure controller is investigated for a class of
uncertain multi-input multi-output (MIMO) chaotic systems with both sector nonlinearities and …

The contribution of this work is to study the control of unknown chaotic systems with input
saturation, and the backstepping-based an adaptive fuzzy neural controller (AFNC) is …