Control systems: from linear analysis to synthesis of chaos
Control systems: from linear analysis to synthesis of chaos
Projective synchronization of Chua's chaotic systems with dead-zone in the control input
Mathematics and Computers in Simulation
Intelligent adaptive control for MIMO uncertain nonlinear systems
Expert Systems with Applications: An International Journal
Adaptive fuzzy mimo control of induction motors
Expert Systems with Applications: An International Journal
Direct adaptive neural control for affine nonlinear systems
Applied Soft Computing
PID control of a chaotic system: An application to an epidemiological model
Automatica (Journal of IFAC)
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Stable and convergent iterative feedback tuning of fuzzy controllers for discrete-time SISO systems
Expert Systems with Applications: An International Journal
Adaptive fuzzy tracking control of nonlinear MIMO systems with time-varying delays
Fuzzy Sets and Systems
Hi-index | 12.05 |
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 dead-zones. A suitable adaptive fuzzy system is used to reasonably approximate the uncertain functions. A Lyapunov approach is employed to derive the parameter adaptation laws and prove the boundedness of all signals of the closed-loop system as well as the exponential convergence of the closed-loop errors to an adjustable region. The proposed controller can be applied to the systems with or without sector nonlinearities and/or dead-zones in the input. The effectiveness of the proposed fuzzy adaptive controller is illustrated throughout simulation results.