Control of nonisothermal CSTR with time varying parameters via dynamic neural network control (DNNC)

Chemical Engineering Journal ◽

10.1016/s1385-8947(99)00108-4 ◽

2000 ◽

Vol 76 (1) ◽

pp. 1-16 ◽

Author(s):

M. Nikravesh ◽

A.E. Farell ◽

T.G. Stanford

Keyword(s):

Neural Network ◽

Network Control ◽

Time Varying ◽

Neural Network Control ◽

Dynamic Neural Network ◽

Varying Parameters ◽

Time Varying Parameters

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Dynamic neural network control of nonlinear-time varying systems: stability analysis, optimal network structure, and on-line adaptation

Proceedings of North American Fuzzy Information Processing ◽

10.1109/nafips.1996.534717 ◽

2002 ◽

Author(s):

M. Nikravesh

Keyword(s):

Neural Network ◽

Stability Analysis ◽

Network Structure ◽

Network Control ◽

Time Varying ◽

Neural Network Control ◽

Dynamic Neural Network ◽

Optimal Network ◽

Time Varying Systems ◽

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Adaptive neural network control for maglev vehicle systems with time-varying mass and external disturbance

Neural Computing and Applications ◽

10.1007/s00521-021-05874-2 ◽

2021 ◽

Author(s):

Yougang Sun ◽

Junqi Xu ◽

Guobin Lin ◽

Ning Sun

Keyword(s):

Neural Network ◽

External Disturbance ◽

Network Control ◽

Time Varying ◽

Neural Network Control ◽

Adaptive Neural Network ◽

Maglev Vehicle ◽

Adaptive Neural Network Control ◽

Vehicle Systems ◽

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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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DSC-based RBF neural network control for nonlinear time-delay systems with time-varying full state constraints

ISA Transactions ◽

10.1016/j.isatra.2021.12.010 ◽

2021 ◽

Author(s):

Youguo He ◽

Yu Zhou ◽

Yingfeng Cai ◽

Chaochun Yuan ◽

Jie Shen

Keyword(s):

Neural Network ◽

State Constraints ◽

Rbf Neural Network ◽

Network Control ◽

Delay Systems ◽

Time Varying ◽

Neural Network Control ◽

Time Delay Systems ◽

Full State Constraints

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Adaptive bounded neural network control for coordinated path-following of networked underactuated autonomous surface vehicles under time-varying state-dependent cyber-attack

ISA Transactions ◽

10.1016/j.isatra.2018.12.051 ◽

2020 ◽

Vol 104 ◽

pp. 212-221 ◽

Author(s):

Nan Gu ◽

Dan Wang ◽

Zhouhua Peng ◽

Lu Liu

Keyword(s):

Neural Network ◽

Path Following ◽

Network Control ◽

Time Varying ◽

Neural Network Control ◽

Cyber Attack ◽

Autonomous Surface Vehicles ◽

State Dependent

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Elman dynamic neural network control for direct-drive feed system in advanced CNC machine tools

2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering ◽

10.1109/cmce.2010.5609807 ◽

2010 ◽

Author(s):

Jian-Min Zuo ◽

Chao Pan ◽

Mu-Lan Wang ◽

Wei Su

Keyword(s):

Neural Network ◽

Machine Tools ◽

Network Control ◽

Cnc Machine Tools ◽

Neural Network Control ◽

Direct Drive ◽

Cnc Machine ◽

Feed System ◽

Dynamic Neural Network

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Adaptive Neural-Network Control of MIMO Nonaffine Nonlinear Systems With Asymmetric Time-Varying State Constraints

IEEE Transactions on Cybernetics ◽

10.1109/tcyb.2019.2923849 ◽

2019 ◽

pp. 1-13 ◽

Author(s):

Pankaj Kumar Mishra ◽

Narendra Kumar Dhar ◽

Nishchal Kumar Verma

Keyword(s):

Neural Network ◽

Nonlinear Systems ◽

State Constraints ◽

Network Control ◽

Time Varying ◽

Neural Network Control ◽

Adaptive Neural Network ◽

Adaptive Neural Network Control ◽

Nonaffine Nonlinear Systems

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Neural Network Control of a Robotic Manipulator with Time-Varying Output Constraints by State Feedback * *This work was supported by the National Natural Science Foundation of China under Grant 61522302, 6161101273, the Newton Advanced Fellowship from The Royal Society, UK, under Grant NA160436 the Beijing Natural Science Foundation under Grant 4172041, and the Fundamental Research Funds for the China Central Universities of USTB under Grant FRF-BD-16-005A and FRF-TP-15-005C1.

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2017.08.1323 ◽

2017 ◽

Vol 50 (1) ◽

pp. 8969-8974 ◽

Author(s):

Haifeng Huang ◽

Wei He ◽

Shuang Zhang

Keyword(s):

Neural Network ◽

Natural Science ◽

Royal Society ◽

State Feedback ◽

Robotic Manipulator ◽

Network Control ◽

Time Varying ◽

Neural Network Control ◽

Output Constraints ◽

Fundamental Research

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Identification of nonlinear systems with time-varying parameters using a sliding-neural network observer

Neurocomputing ◽

10.1016/j.neucom.2008.09.001 ◽

2009 ◽

Vol 72 (7-9) ◽

pp. 1611-1620 ◽

Author(s):

Tarek Ahmed-Ali ◽

Godpromesse Kenné ◽

Françoise Lamnabhi-Lagarrigue

Keyword(s):

Neural Network ◽

Nonlinear Systems ◽

Time Varying ◽

Varying Parameters ◽

Time Varying Parameters ◽

Neural Network Observer

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Dynamic neural network control for non-linear systems: optimal neural network structure and stability analysis

Chemical Engineering Journal ◽

10.1016/s1385-8947(97)00041-7 ◽

1997 ◽

Vol 68 (1) ◽

pp. 41-50 ◽

Author(s):

Masoud Nikravesh ◽

Andrew E. Farell ◽

Thomas G. Stanford

Keyword(s):

Neural Network ◽

Stability Analysis ◽

Linear Systems ◽

Network Structure ◽

Network Control ◽

Neural Network Control ◽

Dynamic Neural Network ◽

Structure And Stability ◽

Neural Network Structure ◽

Non Linear Systems

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