A novel full errors fixed-time control for constraint nonlinear systems
In this article, the issue of adaptive control design with full error constraints for multi-input
and multi-output nonlinear systems is investigated. By combining nonlinear filters and an …
and multi-output nonlinear systems is investigated. By combining nonlinear filters and an …
Adaptive fault-tolerant control for switched nonlinear systems based on command filter technique
Y Wang, N Xu, Y Liu, X Zhao - Applied Mathematics and Computation, 2021 - Elsevier
This article put forward an adaptive neural fault-tolerant control strategy for a class of
switched nonlinear systems subject to actuator fault by means of the command filter …
switched nonlinear systems subject to actuator fault by means of the command filter …
Adaptive neural network control of a robotic manipulator with time-varying output constraints
The control problem of an uncertain n-degrees of freedom robotic manipulator subjected to
time-varying output constraints is investigated in this paper. We describe the rigid robotic …
time-varying output constraints is investigated in this paper. We describe the rigid robotic …
Vibration control of a flexible robotic manipulator in the presence of input deadzone
In this paper, a neural network (NN) controller is designed to suppress the vibration of a
flexible robotic manipulator system with input deadzone. The NN aims to approximate the …
flexible robotic manipulator system with input deadzone. The NN aims to approximate the …
Composite neural dynamic surface control of a class of uncertain nonlinear systems in strict-feedback form
B Xu, Z Shi, C Yang, F Sun - IEEE transactions on cybernetics, 2014 - ieeexplore.ieee.org
This paper studies the composite adaptive tracking control for a class of uncertain nonlinear
systems in strict-feedback form. Dynamic surface control technique is incorporated into …
systems in strict-feedback form. Dynamic surface control technique is incorporated into …
Composite learning adaptive dynamic surface control of fractional-order nonlinear systems
Adaptive dynamic surface control (ADSC) is effective for solving the complexity problem in
adaptive backstepping control of integer-order nonlinear systems. This article focuses on the …
adaptive backstepping control of integer-order nonlinear systems. This article focuses on the …
Neural network-based adaptive tracking control for switched nonlinear systems with prescribed performance: an average dwell time switching approach
This article investigates a problem of adaptive neural output-feedback tracking control for a
class of switched uncertain nonlinear systems in nonstrict-feedback structure with average …
class of switched uncertain nonlinear systems in nonstrict-feedback structure with average …
Adaptive output-feedback neural control of switched uncertain nonlinear systems with average dwell time
This paper investigates the problem of adaptive neural tracking control via output-feedback
for a class of switched uncertain nonlinear systems without the measurements of the system …
for a class of switched uncertain nonlinear systems without the measurements of the system …
Fixed/Preassigned-time synchronization of quaternion-valued neural networks via pure power-law control
The fixed-time synchronization and preassigned-time synchronization of quaternion-valued
neural networks are concerned in this article. By developing fixed-time stability and …
neural networks are concerned in this article. By developing fixed-time stability and …
Globally Stable Adaptive Backstepping Neural Network Control for Uncertain Strict-Feedback Systems With Tracking Accuracy Known a Priori
This paper addresses the problem of globally stable direct adaptive backstepping neural
network (NN) tracking control design for a class of uncertain strict-feedback systems under …
network (NN) tracking control design for a class of uncertain strict-feedback systems under …