This article proposed a novel adaptive ETC framework for asymptotic tracking of uncertain
nonlinear systems in the presence of unknown virtual control coefficients (UVCC). More …

In this article, the tracking control problems of the nonlinear nonstrict-feedback systems are
considered. By combining the backstepping technique and bound estimation method, a …

This article is concerned with supplementary control of discrete-time nonlinear systems with
multiple controllers in the framework of goal representation heuristic dynamic programming …

Power grid operation continuously undergoes state transitions caused by internal and
external uncertainties, eg, equipment failures and weather-driven faults, among others. This …

Neural network method is an effective tool for approximating the unknown function in
controller design for nonlinear systems. To guarantee the validity of the approximation, state …

In this study, a fractional-order sliding mode control (FSMC) scheme using a recurrent neural
network (RNN) approximator is introduced to achieve better control performance for a class …

This article proposes an adaptive fuzzy output-feedback control approach for a class of
nonaffine multi-input multi-output nonlinear systems with prescribed performance and …

In this article, an adaptive event-triggered boundary control scheme is proposed for a
flexible single-link manipulator (FSLM) system with communication constraints. The …

The problem of attitude takeover control of spacecraft by using cellular satellites with the
limited inter-satellite communication capacity, the unknown inertia matrix and external …

This paper investigates the adaptive event-triggered tracking control problem for nonlinear
systems with virtual control coefficients being unknown nonlinear functions. Firstly, different …