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This paper proposes a novel adaptive synchronization approach for a class of nonlinear large-scale systems via T-S fuzzy model. It is known that the practical large-scale systems are very complicated with nonlinear coupling strength between every two subsystems, thus the classical linear control methods are invalid for them. To overcome this deficiency, we employ the T-S fuzzy model in this paper...
This paper addresses the problem of state and disturbance estimation for Lipschitz nonlinear system with disturbance. The disturbance is generated by an exogenous system with additional unmodeled disturbance. Adaptive state observer and disturbance observer, including a H∞ performance level and a regional pole constraint, are designed, simultaneously. Compared with the existing results, Lipschitz...
A novel adaptive critic design (ACD) based robust neural network (NN) controller is proposed for a class of continuous-time nonaffine nonlinear system in this paper. Although studies about ACD-based NN controller have been made on nonlinear systems, little is known about the more complicate nonaffine nonlinear systems. Because the nonlinear functions of nonaffine nonlinear systems are implicit functions...
On the basis of Lyapunov stability theory, this paper is concerned with the problem of pinning synchronization for a general complex networks with coupling delay. Firstly, we designed a controller to keep the system synchronized, the results which we obtain have mild constraint conditions, and the number of nodes which we need to control can be easily computed. Furthermore, applying the same theory,...
In this paper, adaptive tracking control is investigated for a class of nonlinear time-delay systems with actuator saturation nonlinearity. The uncertain time-delay function is bounded by a nonlinear function with unknown coefficients. The actuator saturation nonlinearity is assumed to be nonsymmetric and unknown. Neural network approximation techniques are utilized to compensate the saturation nonlinearity...
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