Wavelet Neural Network Observer Based Adaptive Tracking Control for a Class of Uncertain Nonlinear Delayed Systems Using Reinforcement Learning

Manish Sharma; Ajay Verma

doi:10.5815/ijisa.2012.02.03

Wavelet Neural Network Observer Based Adaptive Tracking Control for a Class of Uncertain Nonlinear Delayed Systems Using Reinforcement Learning

International Journal of Intelligent Systems and Applications ◽

10.5815/ijisa.2012.02.03 ◽

2012 ◽

Vol 4 (2) ◽

pp. 28-34 ◽

Cited By ~ 2

Author(s):

Manish Sharma ◽

Ajay Verma

Keyword(s):

Neural Network ◽

Reinforcement Learning ◽

Tracking Control ◽

Wavelet Neural Network ◽

Delayed Systems ◽

Adaptive Tracking Control ◽

Adaptive Tracking ◽

Neural Network Observer

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Adaptive Tracking Control for a Class of Uncertain Non-affine Delayed Systems Subjected to Input Constraints Using Self Recurrent Wavelet Neural Network

2010 International Conference on Advances in Recent Technologies in Communication and Computing ◽

10.1109/artcom.2010.47 ◽

2010 ◽

Cited By ~ 2

Author(s):

M. Sharma ◽

A. Verma

Keyword(s):

Neural Network ◽

Tracking Control ◽

Wavelet Neural Network ◽

Input Constraints ◽

Delayed Systems ◽

Adaptive Tracking Control ◽

Adaptive Tracking

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Wavelet Neural Network Observer Based Adaptive Tracking Control for Two Degree of Freedom Piezo-Electric Actuated Nonlinear Metal Cutting Process Using Reinforcement Learning

Procedia Engineering ◽

10.1016/j.proeng.2012.06.127 ◽

2012 ◽

Vol 38 ◽

pp. 1011-1023

Author(s):

Manish Sharm ◽

Ajay Verma

Keyword(s):

Neural Network ◽

Reinforcement Learning ◽

Tracking Control ◽

Metal Cutting ◽

Wavelet Neural Network ◽

Degree Of Freedom ◽

Cutting Process ◽

Adaptive Tracking Control ◽

Two Degree Of Freedom ◽

Neural Network Observer

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Self-Organizing Recurrent Fuzzy Wavelet Neural Network-Based Mixed $\rm{H}_{2}\rm{/ H}_{\rm{\infty }}$ Adaptive Tracking Control for Uncertain Two-Axis Motion Control System

IEEE Transactions on Industry Applications ◽

10.1109/tia.2016.2591901 ◽

2016 ◽

Vol 52 (6) ◽

pp. 5139-5155 ◽

Cited By ~ 23

Author(s):

Fayez F. M. El-Sousy ◽

Khaled Ali Abuhasel

Keyword(s):

Neural Network ◽

Control System ◽

Motion Control ◽

Tracking Control ◽

Wavelet Neural Network ◽

Motion Control System ◽

Adaptive Tracking Control ◽

Adaptive Tracking ◽

Fuzzy Wavelet Neural Network ◽

Self Organizing

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Full-state neural network observer-based hybrid quantum diagonal recurrent neural network adaptive tracking control

Neural Computing and Applications ◽

10.1007/s00521-020-05685-x ◽

2021 ◽

Author(s):

Ahmed Elkenawy ◽

Ahmad M. El-Nagar ◽

Mohammad El-Bardini ◽

Nabila M. El-Rabaie

Keyword(s):

Neural Network ◽

Recurrent Neural Network ◽

Tracking Control ◽

Adaptive Tracking Control ◽

Adaptive Tracking ◽

Full State ◽

Neural Network Observer

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Self-organizing recurrent fuzzy wavelet neural network-based mixed H2/H∞ adaptive tracking control for uncertain two-axis motion control system

2015 IEEE Industry Applications Society Annual Meeting ◽

10.1109/ias.2015.7356812 ◽

2015 ◽

Author(s):

Fayez F. M. El-Sousy ◽

Khaled A. Abuhasel

Keyword(s):

Neural Network ◽

Control System ◽

Motion Control ◽

Tracking Control ◽

Wavelet Neural Network ◽

Motion Control System ◽

Adaptive Tracking Control ◽

Adaptive Tracking ◽

Fuzzy Wavelet Neural Network ◽

Self Organizing

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Globally stable adaptive tracking control of a wheeled mobile robot using RBF neural network as feedforward compensator

2013 25th Chinese Control and Decision Conference (CCDC) ◽

10.1109/ccdc.2013.6561241 ◽

2013 ◽

Author(s):

Jian Wu ◽

Dong Zhao ◽

Weisheng Chen

Keyword(s):

Neural Network ◽

Mobile Robot ◽

Tracking Control ◽

Rbf Neural Network ◽

Wheeled Mobile Robot ◽

Adaptive Tracking Control ◽

Adaptive Tracking ◽

Globally Stable

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Fault-tolerant Adaptive Tracking Control of Euler-Lagrange Systems — An Echo State Network Approach Driven by Reinforcement Learning

Neurocomputing ◽

10.1016/j.neucom.2021.10.083 ◽

2021 ◽

Author(s):

Qing Chen ◽

Yaochu Jin ◽

Yongduan Song

Keyword(s):

Reinforcement Learning ◽

Tracking Control ◽

Fault Tolerant ◽

Echo State Network ◽

Network Approach ◽

Adaptive Tracking Control ◽

Adaptive Tracking

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Event-Triggered Reinforcement Learning-Based Adaptive Tracking Control for Completely Unknown Continuous-Time Nonlinear Systems

IEEE Transactions on Cybernetics ◽

10.1109/tcyb.2019.2903108 ◽

2020 ◽

Vol 50 (7) ◽

pp. 3231-3242 ◽

Cited By ~ 4

Author(s):

Xinxin Guo ◽

Weisheng Yan ◽

Rongxin Cui

Keyword(s):

Reinforcement Learning ◽

Nonlinear Systems ◽

Continuous Time ◽

Tracking Control ◽

Adaptive Tracking Control ◽

Adaptive Tracking ◽

Event Triggered

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Neural Network-Based Adaptive Tracking Control for a Class of Nonlinear Singularly Perturbed Systems

IEEE Access ◽

10.1109/access.2019.2908276 ◽

2019 ◽

Vol 7 ◽

pp. 43205-43213

Author(s):

Hao Wang ◽

Chunyu Yang ◽

Song Zhu

Keyword(s):

Neural Network ◽

Tracking Control ◽

Singularly Perturbed ◽

Singularly Perturbed Systems ◽

Adaptive Tracking Control ◽

Adaptive Tracking ◽

Perturbed Systems

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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 ◽

Cited By ~ 3

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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