Add to ORKGwhich permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Wepresent adaptive neural control design for a class of perturbednonlinearMIMO time-varying delay systems in a block-triangular form. Based on a neural controller, it is obtained by constructing a quadratic-type Lyapunov-Krasovskii functional, which efficiently avoids the controller singularity. The proposed control guarantees that all closed-loop signals remain bounded, while the output tracking error dynamics converge to a neighborhood of the desired trajectories.The simulation results demonstrate the effectiveness of the proposed control scheme. 1
Abstract—Within the model reference adaptive control (MRAC) frame-work, a continuous adaptive output...
In this paper, the problem of robust output tracking control for a class of time-delay nonlinear sys...
[[abstract]]Tracking control of nonlinear systems with significant delay effects has been the focus ...
We present adaptive neural control design for a class of perturbed nonlinear MIMO time-varying delay...
This paper proposes a novel adaptive neural control scheme for a class of perturbed strict-feedback ...
Abstract—Practical adaptive neural control is presented for a class of nonlinear systems with unknow...
Abstract—In this paper, adaptive neural control is presented for a class of strict-feedback nonlinea...
Abstract—In this note, adaptive neural control is presented for a class of strict-feedback nonlinear...
AbstractBased on the principle of sliding mode control and the property of Nussbaum-type functions, ...
This paper is concerned with robust stabilization problem for a class of nonaffine pure-feedback sy...
This paper addresses the problem of tracking control for a class of uncertain nonstrict-feedback non...
Approximation-based control is presented for a class of multi-input multi-output (MIMO) nonlinear sy...
This paper considers an adaptive neural control for a class of outputs time-delay nonlinear systems ...
This article aims at proposing an adaptive neural control strategy for a class of nonlinear time-del...
This paper considers the problem of adaptive neural control of nonlower triangular nonlinear systems...
Abstract—Within the model reference adaptive control (MRAC) frame-work, a continuous adaptive output...
In this paper, the problem of robust output tracking control for a class of time-delay nonlinear sys...
[[abstract]]Tracking control of nonlinear systems with significant delay effects has been the focus ...
We present adaptive neural control design for a class of perturbed nonlinear MIMO time-varying delay...
This paper proposes a novel adaptive neural control scheme for a class of perturbed strict-feedback ...
Abstract—Practical adaptive neural control is presented for a class of nonlinear systems with unknow...
Abstract—In this paper, adaptive neural control is presented for a class of strict-feedback nonlinea...
Abstract—In this note, adaptive neural control is presented for a class of strict-feedback nonlinear...
AbstractBased on the principle of sliding mode control and the property of Nussbaum-type functions, ...
This paper is concerned with robust stabilization problem for a class of nonaffine pure-feedback sy...
This paper addresses the problem of tracking control for a class of uncertain nonstrict-feedback non...
Approximation-based control is presented for a class of multi-input multi-output (MIMO) nonlinear sy...
This paper considers an adaptive neural control for a class of outputs time-delay nonlinear systems ...
This article aims at proposing an adaptive neural control strategy for a class of nonlinear time-del...
This paper considers the problem of adaptive neural control of nonlower triangular nonlinear systems...
Abstract—Within the model reference adaptive control (MRAC) frame-work, a continuous adaptive output...
In this paper, the problem of robust output tracking control for a class of time-delay nonlinear sys...
[[abstract]]Tracking control of nonlinear systems with significant delay effects has been the focus ...