In this paper, we present control designs for single-input single-output (SISO) nonlinear systems in strict feedback form with an output constraint.Expand
This paper proposes a new potential field method for motion planning of mobile robots in a dynamic environment where the target and the obstacles are moving.Expand
In this paper, adaptive dynamic surface control (DSC) is developed for a class of pure-feedback nonlinear systems with unknown dead zone and perturbed uncertainties using neural networks.Expand
In this paper, direct adaptive neural-network (NN) control is presented for a class of affine nonlinear systems in the strict-feedback form with unknown nonlinearities.Expand
In this paper, adaptive neural control schemes are proposed for two classes of uncertain multi-input/multi-output (MIMO) nonlinear systems in block-triangular forms. The MIMO systems consist of… Expand
While neural network control has been successfully applied in various practical applications, many important issues, such as stability, robustness, and performance, have not been extensively… Expand
In this paper, we consider adaptive neural control of a completely non-affine pure-feedback system using radial basis function (RBF) neural networks (NN).Expand
This paper focuses on adaptive control of strict-feedback nonlinear systems using multilayer neural networks (MNNs) using a modified Lyapunov function.Expand
In this paper, adaptive neural control is proposed for a class of uncertain multi-input multi-output (MIMO) nonlinear state time-varying delay systems in a triangular control structure with unknown nonlinear dead-zones and gain signs.Expand