Adaptive RBF Neural-Network-Based Design Strategy for Non-Strict-Feedback Nonlinear Systems by Using Integral Lyapunov Functions

IEEE Access ◽

10.1109/access.2018.2884080 ◽

2018 ◽

Vol 6 ◽

pp. 75076-75085 ◽

Author(s):

Xiao-Mei Wang ◽

Ben Niu ◽

Guo-qiang Wu ◽

Jun-Qing Li ◽

Pei-yong Duan ◽

...

Keyword(s):

Neural Network ◽

Nonlinear Systems ◽

Lyapunov Functions ◽

Rbf Neural Network ◽

Design Strategy ◽

Strict Feedback

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Robust observer backstepping neural network control of nonlinear systems in strict feedback form

Proceedings of the 2004 American Control Conference ◽

10.23919/acc.2004.1384374 ◽

2004 ◽

Author(s):

W. Chatlatanagulchai ◽

P.H. Meckl

Keyword(s):

Neural Network ◽

Nonlinear Systems ◽

Network Control ◽

Neural Network Control ◽

Feedback Form ◽

Robust Observer ◽

Strict Feedback

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A Novel Neural Network Based Adaptive Control for a Class of Uncertain Strict-Feedback Nonlinear Systems

Advances in Neural Networks – ISNN 2014 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-12436-0_35 ◽

2014 ◽

pp. 312-320

Author(s):

Baobin Miao ◽

Tieshan Li

Keyword(s):

Neural Network ◽

Adaptive Control ◽

Nonlinear Systems ◽

Strict Feedback

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Hardware Implementation of a RBF Neural Network Controller with a DSP 2812 and an FPGA for Controlling Nonlinear Systems

2008 International Conference on Smart Manufacturing Application ◽

10.1109/icsma.2008.4505634 ◽

2008 ◽

Author(s):

Geun-Hyung Lee ◽

Sung-Su Kim ◽

Seul Jung

Keyword(s):

Neural Network ◽

Nonlinear Systems ◽

Hardware Implementation ◽

Rbf Neural Network ◽

Neural Network Controller ◽

Network Controller

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Development of Design Strategy for RBF Neural Network with the Aid of Context-Based FCM

Advances in Neural Networks – ISNN 2009 - Lecture Notes in Computer Science ◽

10.1007/978-3-642-01507-6_19 ◽

2009 ◽

pp. 156-163

Author(s):

Ho-Sung Park ◽

Sung-Kwun Oh ◽

Hyun-Ki Kim

Keyword(s):

Neural Network ◽

Rbf Neural Network ◽

Design Strategy

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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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Adaptive neural network control for strict-feedback nonlinear systems using backstepping design

Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251) ◽

10.1109/acc.1999.783203 ◽

1999 ◽

Keyword(s):

Neural Network ◽

Nonlinear Systems ◽

Network Control ◽

Neural Network Control ◽

Backstepping Design ◽

Adaptive Neural Network ◽

Adaptive Neural Network Control ◽

Strict Feedback

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Optimal control of nonlinear systems using RBF neural network and adaptive extended Kalman filter

2009 American Control Conference ◽

10.1109/acc.2009.5160105 ◽

2009 ◽

Author(s):

Peda V. Medagam ◽

Farzad Pourboghrat

Keyword(s):

Neural Network ◽

Optimal Control ◽

Kalman Filter ◽

Nonlinear Systems ◽

Extended Kalman Filter ◽

Rbf Neural Network ◽

Adaptive Extended Kalman Filter

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Discrete-time neural network control of nonlinear systems in non-strict feedback form

42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475) ◽

10.1109/cdc.2003.1271913 ◽

2004 ◽

Author(s):

Pingan He ◽

S. Jagannathan

Keyword(s):

Neural Network ◽

Nonlinear Systems ◽

Discrete Time ◽

Network Control ◽

Neural Network Control ◽

Feedback Form ◽

Strict Feedback

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Output Feedback Tracking Control Based on Neural Network for a Class of SISO Strict Feedback Nonlinear Systems

Journal of Networks ◽

10.4304/jnw.9.9.2521-2528 ◽

2014 ◽

Vol 9 (9) ◽

Author(s):

Hui Hu ◽

Zhongxiao Hao ◽

Peng Guo ◽

Xilong Qu

Keyword(s):

Neural Network ◽

Nonlinear Systems ◽

Output Feedback ◽

Tracking Control ◽

Feedback Tracking ◽

Strict Feedback

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Adaptive Intelligent Control of the ABS Nonlinear Systems Using RBF Neural Network Based on K-Means Clustering

Lecture Notes in Electrical Engineering - Proceedings of the 2nd International Conference on Electronic Engineering and Renewable Energy Systems ◽

10.1007/978-981-15-6259-4_53 ◽

2020 ◽

pp. 503-512

Author(s):

Hamou Ait Abbas ◽

Abdelhamid Rabhi ◽

Mohammed Belkheiri

Keyword(s):

Neural Network ◽

Nonlinear Systems ◽

Intelligent Control ◽

Rbf Neural Network

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