In this paper, the problem of robust output tracking control for a class of time-delay nonlinear systems is considered. The systems are in the form of triangular structure with unmodeled dynamics. First, we construct an observer whose gain matrix is scheduled via linear matrix inequality approach. For the case that the information of uncertainties bounds is not completely available, we design an observer-based neural network (NN) controller by employing the backstepping method. The resulting closed-loop system is ensured to be stable in the sense of semiglobal boundedness with the help of changing supplying function idea. The observer and the controller designed are both independent of the time delays. Finally, numerical simulations are con...
This paper investigates the problem of output feedback neural network (NN) learning tracking control...
This paper investigates the problem of output feedback neural network (NN) learning tracking control...
This paper investigates the problem of output feedback neural network (NN) learning tracking control...
In this paper, the problem of robust output tracking control for a class of time-delay nonlinear sys...
In this paper, an adaptive neural output-feedback tracking controller is designed for a class of mul...
In this paper, an adaptive neural output-feedback tracking controller is designed for a class of mul...
In this paper, an adaptive neural output-feedback tracking controller is designed for a class of mul...
In this paper, an adaptive neural output-feedback tracking controller is designed for a class of mul...
In this paper, an adaptive neural output-feedback tracking controller is designed for a class of mul...
In addressing the adaptive neural backstepping control for multiple-input and multiple-output nonlin...
Abstract—In this note, adaptive neural control is presented for a class of strict-feedback nonlinear...
Abstract—Practical adaptive neural control is presented for a class of nonlinear systems with unknow...
The problem of adaptive output tracking is researched for a class of nonlinear network control syste...
This paper investigates the problem of output feedback neural network (NN) learning tracking control...
This paper investigates the problem of output feedback neural network (NN) learning tracking control...
This paper investigates the problem of output feedback neural network (NN) learning tracking control...
This paper investigates the problem of output feedback neural network (NN) learning tracking control...
This paper investigates the problem of output feedback neural network (NN) learning tracking control...
In this paper, the problem of robust output tracking control for a class of time-delay nonlinear sys...
In this paper, an adaptive neural output-feedback tracking controller is designed for a class of mul...
In this paper, an adaptive neural output-feedback tracking controller is designed for a class of mul...
In this paper, an adaptive neural output-feedback tracking controller is designed for a class of mul...
In this paper, an adaptive neural output-feedback tracking controller is designed for a class of mul...
In this paper, an adaptive neural output-feedback tracking controller is designed for a class of mul...
In addressing the adaptive neural backstepping control for multiple-input and multiple-output nonlin...
Abstract—In this note, adaptive neural control is presented for a class of strict-feedback nonlinear...
Abstract—Practical adaptive neural control is presented for a class of nonlinear systems with unknow...
The problem of adaptive output tracking is researched for a class of nonlinear network control syste...
This paper investigates the problem of output feedback neural network (NN) learning tracking control...
This paper investigates the problem of output feedback neural network (NN) learning tracking control...
This paper investigates the problem of output feedback neural network (NN) learning tracking control...
This paper investigates the problem of output feedback neural network (NN) learning tracking control...
This paper investigates the problem of output feedback neural network (NN) learning tracking control...