Adaptive neural network control for stochastic constrained block structure nonlinear systems with dynamical uncertainties-Reference-Cited by-同舟云学术

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Adaptive neural network control for stochastic constrained block structure nonlinear systems with dynamical uncertainties

Published:2019-05-27 Issue:7 Volume:33 Page:1079-1096
ISSN:0890-6327
Container-title:International Journal of Adaptive Control and Signal Processing
language:en
Short-container-title:Int J Adapt Control Signal Process

Author:

Xia Meizhen¹,Zhang Tianping¹^ORCID

Affiliation:

1. Department of Automation, College of Information Engineering Yangzhou University Yangzhou China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Yangzhou University

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Signal Processing,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/acs.3010

Reference49 articles.

1. Systematic design of adaptive controllers for feedback linearizable systems

2. Adaptive controller design for tracking and disturbance attenuation in parametric strict-feedback nonlinear systems

3. Stochastic nonlinear stabilization — I: A backstepping design

4. Output-feedback stochastic nonlinear stabilization

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1. Adaptive finite-time neural network control for nonlinear stochastic systems with state constraints;Mathematics and Computers in Simulation;2024-01

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3. Design of single neuron super-twisting sliding mode controller for permanent magnet synchronous servo motor;Frontiers in Energy Research;2023-01-25

4. Hybrid FS–WNN approximator in indirect adaptive control of uncertain non‐linear MIMO systems;IET Control Theory & Applications;2020-03

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