Data-Driven Tracking Control Based on LM and PID Neural Network with Relay Feedback for Discrete Nonlinear Systems

IEEE Transactions on Industrial Electronics ◽

10.1109/tie.2020.3032872 ◽

2020 ◽

pp. 1-1

Author(s):

Jun Hao ◽

Guoshan Zhang ◽

Wanquan Liu ◽

Yuqing Zheng ◽

Ling Ren

Keyword(s):

Neural Network ◽

Nonlinear Systems ◽

Tracking Control ◽

Data Driven ◽

Relay Feedback ◽

Discrete Nonlinear Systems ◽

Pid Neural Network

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Data-Driven Tracking Control for a Class of Unknown Nonlinear Time-Varying Systems Using Improved PID Neural Network and Cohen-Coon Approach

2021 IEEE 10th Data Driven Control and Learning Systems Conference (DDCLS) ◽

10.1109/ddcls52934.2021.9455699 ◽

2021 ◽

Author(s):

Jun Hao ◽

Guoshan Zhang

Keyword(s):

Neural Network ◽

Tracking Control ◽

Data Driven ◽

Time Varying ◽

Time Varying Systems ◽

Pid Neural Network

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Neural Network-Based Model-Free Adaptive Near-Optimal Tracking Control for a Class of Nonlinear Systems

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2018.2828114 ◽

2018 ◽

Vol 29 (12) ◽

pp. 6227-6241 ◽

Author(s):

Yinyan Zhang ◽

Shuai Li ◽

Xiaoping Liu

Keyword(s):

Neural Network ◽

Nonlinear Systems ◽

Tracking Control ◽

Optimal Tracking ◽

Optimal Tracking Control ◽

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Adaptive Neural Network-Based Finite-Time Tracking Control for Nonstrict Nonaffined MIMO Nonlinear Systems

IEEE Transactions on Systems Man and Cybernetics Systems ◽

10.1109/tsmc.2019.2944275 ◽

2019 ◽

pp. 1-11 ◽

Author(s):

Shu Li ◽

Xin An ◽

Liang Ding ◽

Qingfan Wang ◽

Haibo Gao ◽

...

Keyword(s):

Neural Network ◽

Nonlinear Systems ◽

Finite Time ◽

Tracking Control ◽

Adaptive Neural Network ◽

Mimo Nonlinear Systems

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Adaptive neural network finite-time tracking control of full state constrained pure feedback stochastic nonlinear systems

Journal of the Franklin Institute ◽

10.1016/j.jfranklin.2020.04.048 ◽

2020 ◽

Vol 357 (11) ◽

pp. 6738-6759

Author(s):

Yongchao Liu ◽

Qidan Zhu

Keyword(s):

Neural Network ◽

Nonlinear Systems ◽

Finite Time ◽

Tracking Control ◽

Stochastic Nonlinear Systems ◽

Adaptive Neural Network ◽

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Neural network robust tracking control with adaptive critic framework for uncertain nonlinear systems

Neural Networks ◽

10.1016/j.neunet.2017.09.005 ◽

2018 ◽

Vol 97 ◽

pp. 11-18 ◽

Author(s):

Ding Wang ◽

Derong Liu ◽

Yun Zhang ◽

Hongyi Li

Keyword(s):

Neural Network ◽

Nonlinear Systems ◽

Tracking Control ◽

Uncertain Nonlinear Systems ◽

Robust Tracking ◽

Robust Tracking Control ◽

Adaptive Critic

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Neural-network-based adaptive tracking control for Markovian jump nonlinear systems with unmodeled dynamics

Neurocomputing ◽

10.1016/j.neucom.2015.10.100 ◽

2016 ◽

Vol 179 ◽

pp. 44-53 ◽

Author(s):

Ru Chang ◽

Yiming Fang ◽

Jianxiong Li ◽

Le Liu

Keyword(s):

Neural Network ◽

Nonlinear Systems ◽

Tracking Control ◽

Unmodeled Dynamics ◽

Markovian Jump ◽

Adaptive Tracking Control ◽

Adaptive Tracking

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${\rm H}_{\infty}$ Output Tracking Control of Discrete-Time Nonlinear Systems via Standard Neural Network Models

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2013.2295846 ◽

2014 ◽

Vol 25 (10) ◽

pp. 1928-1935 ◽

Author(s):

Meiqin Liu ◽

Senlin Zhang ◽

Haiyang Chen ◽

Weihua Sheng

Keyword(s):

Neural Network ◽

Nonlinear Systems ◽

Discrete Time ◽

Tracking Control ◽

Network Models ◽

Neural Network Models ◽

Output Tracking ◽

Output Tracking Control

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Neural-network-based control scheme for a class of nonlinear systems with actuator faults via data-driven reinforcement learning method

Neurocomputing ◽

10.1016/j.neucom.2017.01.047 ◽

2017 ◽

Vol 239 ◽

pp. 1-8 ◽

Author(s):

He Jiang ◽

Huaguang Zhang ◽

Yang Liu ◽

Ji Han

Keyword(s):

Neural Network ◽

Reinforcement Learning ◽

Nonlinear Systems ◽

Data Driven ◽

Learning Method ◽

Actuator Faults ◽

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Adaptive Neural Network Prescribed Performance Bounded-$H_{\infty}$ Tracking Control for a Class of Stochastic Nonlinear Systems

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2019.2928594 ◽

2020 ◽

Vol 31 (6) ◽

pp. 2140-2152

Author(s):

Hui Liu ◽

Xiaohua Li ◽

Xiaoping Liu ◽

Huanqing Wang

Keyword(s):

Neural Network ◽

Nonlinear Systems ◽

Tracking Control ◽

Stochastic Nonlinear Systems ◽

Adaptive Neural Network ◽

Prescribed Performance

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Neural network-based adaptive tracking control for switched nonlinear systems with prescribed performance: an average dwell time switching approach

Neurocomputing ◽

10.1016/j.neucom.2020.10.023 ◽

2020 ◽

Author(s):

Yuanqing Wang ◽

Ben Niu ◽

Huanqing Wang ◽

N. Alotaibi ◽

A. Alkhateeb

Keyword(s):

Neural Network ◽

Nonlinear Systems ◽

Tracking Control ◽

Average Dwell Time ◽

Switched Nonlinear Systems ◽

Time Switching ◽

Prescribed Performance ◽

Adaptive Tracking Control ◽

Average Dwell Time Switching

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