This article proposes an adaptive neural network (NN) output feedback optimized control
design for a class of strict-feedback nonlinear systems that contain unknown internal …

This article addresses the finite-time optimal control problem for a class of nonlinear systems
whose powers are positive odd rational numbers. First of all, a finite-time controller, which is …

In this article, a control scheme based on optimized backstep** (OB) technique is
developed for a class of nonlinear strict-feedback systems with unknown dynamic functions …

This article investigates the event-triggered predefined time output feedback control design
problem for nonlinear interconnected systems with nonstrict feedback control structures …

Condition monitoring and fault diagnosis are of significance to improve the safety and
reliability of motors, given their widespread applications in virtually every branch of the …

In this article, an adaptive optimized control scheme based on neural networks (NNs) is
developed for a class of perturbed strict-feedback nonlinear systems. An optimized …

In this paper, we present an event-triggered critic learning impedance control algorithm for a
lower limb rehabilitation exoskeleton robot in an interactive environment, where the control …

This article studies the optimized adaptive finite-time consensus control issue for stochastic
nonlinear multiagent systems subject to non-affine nonlinear faults. Under the architecture of …

This paper considers the problem of asynchronous guaranteed cost control (GCC) for
nonlinear Markov jump systems with stochastic quantization. Hidden Markov model is used …

This work is dedicated to adaptive decentralized tracking control for a class of strong
interconnected nonlinear systems with asymmetric constraints. Currently, there are few …