Adaptive Optimal Regulation of a Class of Uncertain Nonlinear Systems Using Event Sampled Neural Network Approximators

Control of Complex Systems ◽

10.1016/b978-0-12-805246-4.00011-2 ◽

2016 ◽

pp. 337-372

Author(s):

A. Sahoo ◽

S. Jagannathan

Keyword(s):

Neural Network ◽

Nonlinear Systems ◽

Uncertain Nonlinear Systems ◽

Optimal Regulation

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Stochastic approximation for neural network weight estimation in the control of uncertain nonlinear systems

[Proceedings 1992] IJCNN International Joint Conference on Neural Networks ◽

10.1109/ijcnn.1992.227080 ◽

2003 ◽

Author(s):

J.C. Spall ◽

J.A. Cristion

Keyword(s):

Neural Network ◽

Nonlinear Systems ◽

Stochastic Approximation ◽

Uncertain Nonlinear Systems ◽

Weight Estimation ◽

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Adaptive Neural Network Control for Uncertain Nonlinear Systems with Asymptotic Stability Guarantees

2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics ◽

10.1109/ihmsc.2013.278 ◽

2013 ◽

Author(s):

Lin Niu

Keyword(s):

Neural Network ◽

Nonlinear Systems ◽

Asymptotic Stability ◽

Network Control ◽

Uncertain Nonlinear Systems ◽

Neural Network Control ◽

Adaptive Neural Network ◽

Adaptive Neural Network Control

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Adaptive neural network finite-time tracking quantized control for uncertain nonlinear systems with full-state constraints and applications to QUAVs

Neurocomputing ◽

10.1016/j.neucom.2020.12.078 ◽

2021 ◽

Vol 440 ◽

pp. 264-274

Author(s):

Changchun Hua ◽

Anqi Jiang ◽

Kuo Li

Keyword(s):

Neural Network ◽

Nonlinear Systems ◽

Finite Time ◽

State Constraints ◽

Uncertain Nonlinear Systems ◽

Adaptive Neural Network ◽

Quantized Control ◽

Full State Constraints

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Adaptive Neural Network Control for Nonstrict-Feedback Uncertain Nonlinear Systems with Input Delay and Asymmetric Time-Varying State Constraints

Journal of the Franklin Institute ◽

10.1016/j.jfranklin.2021.07.020 ◽

2021 ◽

Author(s):

Boqiang Cao ◽

Xiaobing Nie ◽

Zhongwen Wu ◽

Changfeng Xue ◽

Jinde Cao

Keyword(s):

Neural Network ◽

Nonlinear Systems ◽

State Constraints ◽

Network Control ◽

Input Delay ◽

Time Varying ◽

Uncertain Nonlinear Systems ◽

Neural Network Control ◽

Adaptive Neural Network ◽

Adaptive Neural Network Control

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Development of an adaptive radial basis function neural network estimator-based continuous sliding mode control for uncertain nonlinear systems

ISA Transactions ◽

10.1016/j.isatra.2018.11.021 ◽

2019 ◽

Vol 87 ◽

pp. 200-216 ◽

Author(s):

Nada M. Moawad ◽

Wael M. Elawady ◽

Amany M. Sarhan

Keyword(s):

Neural Network ◽

Nonlinear Systems ◽

Sliding Mode Control ◽

Radial Basis Function ◽

Basis Function ◽

Sliding Mode ◽

Uncertain Nonlinear Systems ◽

Mode Control ◽

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A novel neural network adaptive control for a uncertain nonlinear systems with prescribed performance

2017 29th Chinese Control And Decision Conference (CCDC) ◽

10.1109/ccdc.2017.7979288 ◽

2017 ◽

Author(s):

Rui Zhang ◽

Junmin Li ◽

Jianmin Jiao

Keyword(s):

Neural Network ◽

Adaptive Control ◽

Nonlinear Systems ◽

Uncertain Nonlinear Systems ◽

Prescribed Performance

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Neural-network-based robust optimal control design for a class of uncertain nonlinear systems via adaptive dynamic programming

Information Sciences ◽

10.1016/j.ins.2014.05.050 ◽

2014 ◽

Vol 282 ◽

pp. 167-179 ◽

Author(s):

Ding Wang ◽

Derong Liu ◽

Hongliang Li ◽

Hongwen Ma

Keyword(s):

Neural Network ◽

Optimal Control ◽

Dynamic Programming ◽

Nonlinear Systems ◽

Control Design ◽

Adaptive Dynamic Programming ◽

Uncertain Nonlinear Systems ◽

Robust Optimal Control ◽

Adaptive Dynamic

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Sensor fault diagnosis for a class of time delay uncertain nonlinear systems using neural network

International Journal of Automation and Computing ◽

10.1007/s11633-008-0401-8 ◽

2008 ◽

Vol 5 (4) ◽

pp. 401-405 ◽

Author(s):

Mou Chen ◽

Chang-Sheng Jiang ◽

Qing-Xian Wu

Keyword(s):

Neural Network ◽

Fault Diagnosis ◽

Nonlinear Systems ◽

Uncertain Nonlinear Systems ◽

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Adaptive Neural Network Control of Uncertain Nonlinear Systems in the Presence of Input Saturation

2006 9th International Conference on Control, Automation, Robotics and Vision ◽

10.1109/icarcv.2006.345187 ◽

2006 ◽

Author(s):

Jing Zhou ◽

Meng Joo Er ◽

Yi Zhou

Keyword(s):

Neural Network ◽

Nonlinear Systems ◽

Input Saturation ◽

Network Control ◽

Uncertain Nonlinear Systems ◽

Neural Network Control ◽

Adaptive Neural Network ◽

Adaptive Neural Network Control

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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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