Fixed-time adaptive neural network control for nonstrict-feedback nonlinear systems with deadzone and output constraint-Reference-Cited by-同舟云学术

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Fixed-time adaptive neural network control for nonstrict-feedback nonlinear systems with deadzone and output constraint

Published:2020-02 Issue: Volume:97 Page:458-473
ISSN:0019-0578
Container-title:ISA Transactions
language:en
Short-container-title:ISA Transactions

Author:

Ni Junkang,Wu Zhonghua,Liu Ling,Liu Chongxin

Funder

Fundamental Research Funds for the Central Universities

Natural Science Basic Research Plan in Shaanxi Province of China

Publisher

Elsevier BV

Subject

Applied Mathematics,Control and Systems Engineering,Electrical and Electronic Engineering,Computer Science Applications,Instrumentation

Reference67 articles.

1. Robust adaptive neural network control for a class of uncertain MIMO nonlinear systems with input nonlinearities;Chen;IEEE Trans Neural Netw,2010

2. Neural network control of a robotic manipulator with input deadzone and output constraint;He;IEEE Trans Syst Man Cybern Syst,2016

3. Adaptive impedance control for an upper limb robotic exoskeleton using biological signals;Li;IEEE Trans. Ind. Electron.,2017

4. Neural network control-based adaptive learning design for nonlinear systems with full-state constraints;Liu;IEEE Trans Neural Netw Learn Syst,2016

5. Containment control of networked autonomous underwater vehicles: A predictor-based neural DSC design;Peng;ISA Trans,2015

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