adaptive control of chaotic nonlinear gyros with uncertain coefficients of dynamical model

Adaptive Nonlinear Control of Uncertain Chaotic Gyros Subjected to Unknown Parameters and Disturbances

This paper addresses the chaos control of uncertain chaotic nonlinear gyros with unknown parameters. In general, the underlying class of gyros may be perturbed by external disturbances with different sources. Depending on the characteristics of uncertain parameters and disturbances, two different adaptive-based control algorithms are proposed. In the first method, an adaptive H∞ controller is d...

Global Finite Time Synchronization of Two Nonlinear Chaotic Gyros Using High Order Sliding Mode Control

In this paper, under the existence of system uncertainties, external disturbances, and input nonlinearity, global finite time synchronization between two identical attractors which belong to a class of second-order chaotic nonlinear gyros are achieved by considering a method of continuous smooth second-order sliding mode control (HOAMSC). It is proved that the proposed controller is robust to m...

Adaptive hybrid intelligent control for uncertain nonlinear dynamical systems

A new hybrid direct/indirect adaptive fuzzy neural network (FNN) controller with a state observer and supervisory controller for a class of uncertain nonlinear dynamic systems is developed in this paper. The hybrid adaptive FNN controller, the free parameters of which can be tuned on-line by an observer-based output feedback control law and adaptive law, is a combination of direct and indirect ...

Direct Adaptive Control for Nonlinear Uncertain Dynamical Systems

Parameters Adaptive Control of Uncertain Chaotic Systems

1 Software Engineering College, Zhengzhou University of Light Industry, Zhengzhou 450002, China 2 Engineering Training Center, Zhengzhou University of Light Industry, Zhengzhou, 450002, China 3 Department of Control Engineering, Naval Aeronautical and Astronautical University, Yantai Shandong 264001, China a [email protected], b [email protected] , c [email protected], d leijunwei@126...

Adaptive Fuzzy Model Predictive Control for non-minimum phase and uncertain dynamical nonlinear systems

this paper introduces a method to design a robust adaptive predictive control based on Fuzzy model. The plant to be used as predictive model is simulated by TakagiSugeno Fuzzy Model, and the optimization problem is solved by a Genetic Algorithms or Branch and Bound. The method to tune parameters of the model predictive controller based on Lyapunov stability theorem is presented in this paper to...