An adaptive fuzzy control strategy is proposed for a single-link flexible-joint robotic
manipulator (SFRM) with prescribed performance, in which the unknown nonlinearity is …

In this paper, a neural network (NN) based event trigger control problem of electromagnetic
active suspension system is solved. Due to the limitation of vehicle communication …

In this work, based on the adaptive critic learning algorithms and fuzzy logic systems, the
decentralized optimal control problem for interconnected nonlinear systems with unmodeled …

This article investigates the problem of neural network (NN)-based adaptive backstep**
control design for stochastic nonlinear systems with unmodeled dynamics in finite-time …

This paper studies the finite-time stabilization of a class of stochastic nonlinear systems.
Different from functions which are necessarily known in the conventional finite-time control of …

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 …

This article addresses the issue of the fuzzy adaptive prescribed performance control (PPC)
design for nonstrict feedback multiple input multiple output (MIMO) nonlinear systems in …

This article investigates the problem of finite-time fuzzy adaptive event-triggered control
design for stochastic nonlinear nonstrict feedback systems with unmodeled dynamics. The …

This paper reports our study on adaptive fuzzy tracking control for flexible-joint robots with
full state constraints. In the control design, fuzzy systems are adopted to identify the totally …

This article investigates the adaptive fuzzy tracking control design for uncertain nonstrict-
feedback nonlinear systems with time-varying constraints and asymmetric input saturations …