Fossil fuels and other conventional energy sources used to generate electricity are finite.
Therefore, alternative energy sources should be pursued to meet present and future energy …

This article focuses on the event-based finite-time neural attitude consensus control problem
for the six-rotor unmanned aerial vehicle (UAV) systems with unknown disturbances. It is …

This paper addresses the trajectory tracking control problem of a class of nonstrict-feedback
nonlinear systems with the actuator faults. The functional relationship in the affine form …

This article proposes an adaptive neural-network command-filtered tracking control scheme
of nonlinear systems with multiple actuator constraints. An equivalent transformation method …

This paper investigates the problem of output feedback neural network (NN) learning
tracking control for nonlinear strict feedback systems subject to prescribed performance and …

This paper presents an adaptive fuzzy control approach for a category of uncertain nonstrict-
feedback systems with input saturation and output constraint. A variable separation …

Compared with the existing neural network (NN) or fuzzy logic system (FLS) based adaptive
consensus methods, the proposed approach can greatly alleviate the computation burden …

In this article, the issue of finite-time command filter-based adaptive fuzzy tracking control
based on an event-triggered scheme for stochastic strict-feedback nonlinear systems is …

We present an overview of formation control for multi-agent systems. Multi-agent formation
cooperation is important to accomplish assigned tasks more efficiently and safely compared …

This paper investigates the adaptive tracking control problem for a class of uncertain single-
input and single-output strict-feedback nonlinear systems with unknown control direction …