This paper addresses the problem of adaptive neural output-feedback decentralized control
for a class of strongly interconnected nonlinear systems suffering stochastic disturbances …

This paper investigates the problem of event-triggered tracking control for switched
networked nonlinear systems with asymmetric time-varying output constraints. To handle the …

In this paper, automatic motion control is investigated for wheeled inverted pendulum (WIP)
models, which have been widely applied for modeling of a large range of two wheeled …

Meshfree approximation methods are a relatively new area of research, and there are only a
few books covering it at present. Whereas other works focus almost entirely on theoretical …

This paper studies neural learning control with predefined tracking error bound for a marine
surface vessel whose accurate dynamics could not be obtained a priori. With the …

This article is concerned with the exponential mean-square stabilization problem for a class
of discrete-time strict-feedback nonlinear systems subject to multiplicative noises. The state …

In this paper, we consider the problem of observer-based adaptive neural output-feedback
control for a class of stochastic nonlinear systems with nonstrict-feedback structure. To …

In this paper, we deal with the problem of tracking control for a class of uncertain nonlinear
systems in strictfeedback form subject to completely unknown system nonlinearities, hard …

This paper presents dynamic learning from adaptive neural control (ANC) with prescribed
tracking error performance for an n-link robot manipulator subjected to unknown system …

Human neural motor system has the intelligence to learn new skills, and then to generalize
these skills naturally. But it is not easy for a robot to demonstrate such intelligent behaviors …