Neural network-based backstepping design for the synchronization of cross-strict feedback hyperchaotic systems with unmatched uncertainties

Acta Physica Sinica ◽

10.7498/aps.61.140502 ◽

2012 ◽

Vol 61 (14) ◽

pp. 140502

Author(s):

Li Hai-Yan ◽

Hu Yun-An ◽

Ren Jian-Cun ◽

Zhu Min ◽

Liu Liang

Keyword(s):

Neural Network ◽

Backstepping Design ◽

Unmatched Uncertainties ◽

Hyperchaotic Systems ◽

Strict Feedback

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Robust sliding-mode backstepping design for synchronization control of cross-strict feedback hyperchaotic systems with unmatched uncertainties

Communications in Nonlinear Science and Numerical Simulation ◽

10.1016/j.cnsns.2011.02.031 ◽

2011 ◽

Vol 16 (10) ◽

pp. 3904-3913 ◽

Author(s):

H.Y. Li ◽

Y.A. Hu

Keyword(s):

Sliding Mode ◽

Synchronization Control ◽

Backstepping Design ◽

Unmatched Uncertainties ◽

Hyperchaotic Systems ◽

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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Prescribed performance-based backstepping design for synchronization of cross-strict feedback hyperchaotic systems with uncertainties

Nonlinear Dynamics ◽

10.1007/s11071-013-1113-3 ◽

2013 ◽

Vol 76 (1) ◽

pp. 103-113 ◽

Author(s):

Yun-An Hu ◽

Hai-Yan Li ◽

Huang Huang

Keyword(s):

Backstepping Design ◽

Prescribed Performance ◽

Hyperchaotic Systems ◽

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

10.1016/s0005-1098(00)00116-3 ◽

2000 ◽

Vol 36 (12) ◽

pp. 1835-1846 ◽

Author(s):

T. Zhang ◽

S.S. Ge ◽

C.C. Hang

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

10.5555/s0005-1098(00)00116-3 ◽

2000 ◽

Vol 36 (12) ◽

pp. 1835-1846 ◽

Author(s):

T Zhang

Keyword(s):

Neural Network ◽

Nonlinear Systems ◽

Network Control ◽

Neural Network Control ◽

Backstepping Design ◽

Adaptive Neural Network ◽

Adaptive Neural Network Control ◽

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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 ◽

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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 ◽

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Adaptive neural network backstepping design for a class of nonlinear output feedback systems

2008 2nd International Symposium on Systems and Control in Aerospace and Astronautics ◽

10.1109/isscaa.2008.4776372 ◽

2008 ◽

Author(s):

Lijun Long ◽

Chengkang Xie

Keyword(s):

Neural Network ◽

Output Feedback ◽

Backstepping Design ◽

Feedback Systems ◽

Adaptive Neural Network

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Synchronization and Anti-Synchronization of Two Identical Hyperchaotic Systems Based on Active Backstepping Design

International Journal of Electronics Signals and Systems ◽

10.47893/ijess.2011.1023 ◽

2011 ◽

pp. 117-122

Author(s):

Atefeh Saedian ◽

Hassan Zarabadipoor

Keyword(s):

Numerical Simulations ◽

Active Control ◽

Chaos Control ◽

Control Method ◽

Design Method ◽

Backstepping Design ◽

Backstepping Technique ◽

Control Approach ◽

Hyperchaotic Systems

This paper presents an active backstepping design method for synchronization and anti-synchronization of two identical hyperchaotic Chen systems. The proposed control method, combining backstepping design and active control approach, extends the application of backstepping technique in chaos control. Based on this method, different combinations of controllers can be designed to meet the needs of different applications. Numerical simulations are shown to verify the results.

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Global Predefined Time and Accuracy Adaptive Neural Network Control for Uncertain Strict-Feedback Systems With Output Constraint and Dead Zone

IEEE Transactions on Systems Man and Cybernetics Systems ◽

10.1109/tsmc.2020.2994808 ◽

2020 ◽

pp. 1-16 ◽

Author(s):

Junkang Ni ◽

Peng Shi

Keyword(s):

Neural Network ◽

Dead Zone ◽

Network Control ◽

Neural Network Control ◽

Feedback Systems ◽

Adaptive Neural Network ◽

Adaptive Neural Network Control ◽

Output Constraint ◽

Strict Feedback

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