A new robust adaptive neural network backstepping control for single machine infinite power system with TCSC

IEEE/CAA Journal of Automatica Sinica ◽

10.1109/jas.2019.1911798 ◽

2019 ◽

pp. 1-9 ◽

Author(s):

Yanhong Luo ◽

Shengnan Zhao ◽

Dongsheng Yang ◽

Huaguang Zhang

Keyword(s):

Neural Network ◽

Power System ◽

Single Machine ◽

Backstepping Control ◽

Adaptive Neural Network ◽

Robust Adaptive ◽

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Research on Stability of Single Machine Infinite Power System with PSS

2020 Chinese Automation Congress (CAC) ◽

10.1109/cac51589.2020.9326716 ◽

2020 ◽

Author(s):

Jiaxin Wu ◽

Xingmou Liu ◽

Haibo Lin ◽

Gonggui Chen ◽

Wei Wang ◽

...

Keyword(s):

Power System ◽

Single Machine ◽

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Robust adaptive radial‐basis function neural network‐based backstepping control of a class of perturbed nonlinear systems with unknown system parameters

International Journal of Robust and Nonlinear Control ◽

10.1002/rnc.5528 ◽

2021 ◽

Author(s):

Xiao‐Zheng Jin ◽

Shao‐Yu Lü ◽

Wei‐Wei Che ◽

Chao Deng ◽

Jing Chi

Keyword(s):

Neural Network ◽

Nonlinear Systems ◽

Radial Basis Function ◽

Basis Function ◽

Backstepping Control ◽

System Parameters ◽

Radial Basis ◽

Unknown System ◽

Robust Adaptive

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Robust Adaptive Neural Network Event-triggered Compensation Control for Continuous Stirred Tank Reactors with Prescribed Performance and Actuator Failures

Chemical Engineering Science ◽

10.1016/j.ces.2021.116953 ◽

2021 ◽

pp. 116953

Author(s):

Kaiyue Liu ◽

Juan Chen

Keyword(s):

Neural Network ◽

Stirred Tank ◽

Adaptive Neural Network ◽

Stirred Tank Reactors ◽

Actuator Failures ◽

Compensation Control ◽

Continuous Stirred Tank ◽

Robust Adaptive ◽

Network Event ◽

Event Triggered

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Robust Adaptive Neural Network Control of Uncertain Nonholonomic Systems With Strong Nonlinear Drifts

IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) ◽

10.1109/tsmcb.2004.833340 ◽

2004 ◽

Vol 34 (5) ◽

pp. 2048-2059 ◽

Author(s):

Z.P. Wang ◽

S.S. Ge ◽

T.H. Lee

Keyword(s):

Neural Network ◽

Nonholonomic Systems ◽

Network Control ◽

Neural Network Control ◽

Adaptive Neural Network ◽

Adaptive Neural Network Control ◽

Robust Adaptive

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Adaptive neural network based power system stabilizer design

Proceedings of the International Joint Conference on Neural Networks, 2003. ◽

10.1109/ijcnn.2003.1224043 ◽

2004 ◽

Author(s):

Wenxin Liu ◽

G.K. Venayagamoorthy ◽

D.C. Wunsch

Keyword(s):

Neural Network ◽

Power System ◽

Power System Stabilizer ◽

Adaptive Neural Network ◽

System Stabilizer

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98/02145 An adaptive neural network approach for the estimation of power system frequency

Fuel and Energy Abstracts ◽

10.1016/s0140-6701(98)80346-9 ◽

1998 ◽

Vol 39 (3) ◽

pp. 194

Keyword(s):

Neural Network ◽

Power System ◽

Network Approach ◽

Adaptive Neural Network ◽

Neural Network Approach ◽

System Frequency

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Robust adaptive neural network-based trajectory tracking control approach for nonholonomic electrically driven mobile robots

Robotics and Autonomous Systems ◽

10.1016/j.robot.2017.03.001 ◽

2017 ◽

Vol 92 ◽

pp. 30-40 ◽

Author(s):

Mohamed Boukens ◽

Abdelkrim Boukabou ◽

Mohammed Chadli

Keyword(s):

Neural Network ◽

Mobile Robots ◽

Trajectory Tracking ◽

Tracking Control ◽

Adaptive Neural Network ◽

Trajectory Tracking Control ◽

Control Approach ◽

Robust Adaptive

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Robust adaptive neural network-based compensation control of a class of quadrotor aircrafts

Journal of the Franklin Institute ◽

10.1016/j.jfranklin.2020.09.009 ◽

2020 ◽

Vol 357 (17) ◽

pp. 12241-12263

Author(s):

Xiao-Zheng Jin ◽

Tao He ◽

Xiao-Ming Wu ◽

Hai Wang ◽

Jing Chi

Keyword(s):

Neural Network ◽

Adaptive Neural Network ◽

Compensation Control ◽

Robust Adaptive

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Adaptive neural network based backstepping control design for MIMO nonlinear systems with actuator nonlinearities

Aircraft Engineering and Aerospace Technology ◽

10.1108/aeat-09-2014-0150 ◽

2016 ◽

Vol 88 (1) ◽

pp. 137-150 ◽

Author(s):

Muhammad Usman Jamil ◽

Waree Kongprawechnon ◽

Muhammad Qamar Raza

Keyword(s):

Neural Network ◽

Nonlinear Systems ◽

Control Design ◽

Backstepping Control ◽

Adaptive Neural Network ◽

Mimo Nonlinear Systems ◽

Actuator Nonlinearities

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Robust adaptive neural network control of a class of uncertain strict-feedback nonlinear systems with unknown dead-zone and disturbances

Neurocomputing ◽

10.1016/j.neucom.2014.05.039 ◽

2014 ◽

Vol 145 ◽

pp. 221-229 ◽

Author(s):

Gang Sun ◽

Dan Wang ◽

Mingxin Wang

Keyword(s):

Neural Network ◽

Nonlinear Systems ◽

Dead Zone ◽

Network Control ◽

Neural Network Control ◽

Adaptive Neural Network ◽

Adaptive Neural Network Control ◽

Robust Adaptive ◽

Strict Feedback

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