This paper is concerned with event-triggered control problem for unknown nonlinear
systems with input constraints. By introducing a nominal system and a discounted cost …

In this paper, a novel data-driven robust approximate optimal tracking control scheme is
proposed for unknown general nonlinear systems by using the adaptive dynamic …

Controlling nonstrict-feedback nonlinear systems is a challenging problem in control theory.
In this paper, we consider adaptive fuzzy control for a class of nonlinear systems with …

This paper is concerned with a new data-driven zero-sum neuro-optimal control problem for
continuous-time unknown nonlinear systems with disturbance. According to the input-output …

In this paper, we propose an optimal event‐triggered tracking control scheme for completely
unknown nonlinear systems under the adaptive dynamic programming (ADP) framework. A …

This article investigates the adaptive learning control problem for a class of nonlinear
autonomous underwater vehicles (AUVs) with unknown uncertainties. The unknown …

This paper is concerned with global asymptotic stability for a class of generalized neural
networks (NNs) with interval time-varying delays, which include two classes of fundamental …

Different from gradient-based neural networks, a special kind of recurrent neural network
(RNN) has recently been proposed by Zhang for online matrix inversion. Such an RNN is …

Both research areas of fault tolerant control (FTC) and hybrid systems (HS) have been
developed separately for several decades, and fruitful results appeared respectively …

A novel nonlinear filter, which incorporates the concept of exponential sinusoidal models
into nonlinear filters based on functional link networks (FLNs) has been developed in this …