Observer-based adaptive fuzzy-neural control for a class of uncertain nonlinear systems with unknown dead-zone input

ISA Transactions ◽

10.1016/j.isatra.2010.06.002 ◽

2010 ◽

Vol 49 (4) ◽

pp. 462-469 ◽

Author(s):

Yan-Jun Liu ◽

Ning Zhou

Keyword(s):

Nonlinear Systems ◽

Neural Control ◽

Dead Zone ◽

Uncertain Nonlinear Systems ◽

Adaptive Fuzzy ◽

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H/sub ∞/-observer-based adaptive fuzzy-neural control for a class of uncertain nonlinear systems

IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028) ◽

10.1109/icsmc.1999.814133 ◽

2003 ◽

Author(s):

Yih-Guang Leu ◽

Wei-Yen Wang ◽

Tsu-Tian Lee

Keyword(s):

Nonlinear Systems ◽

Neural Control ◽

Uncertain Nonlinear Systems ◽

Adaptive Fuzzy ◽

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Robust adaptive fuzzy-neural controllers for uncertain nonlinear systems

IEEE Transactions on Robotics and Automation ◽

10.1109/70.795786 ◽

1999 ◽

Vol 15 (5) ◽

pp. 805-817 ◽

Author(s):

Yih-Guan Leu ◽

Wei-Yen Wang ◽

Tsu-Tian Lee

Keyword(s):

Nonlinear Systems ◽

Uncertain Nonlinear Systems ◽

Adaptive Fuzzy ◽

Neural Controllers ◽

Fuzzy Neural ◽

Robust Adaptive

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Indirect adaptive fuzzy-neural control with observer and supervisory control for unknown nonlinear systems

10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297) ◽

10.1109/fuzz.2001.1009095 ◽

2005 ◽

Author(s):

Chi-Hsu Wang ◽

Tsung-Chih Lin ◽

Han-Leih Liu ◽

Tsu-Tian Lee

Keyword(s):

Nonlinear Systems ◽

Supervisory Control ◽

Neural Control ◽

Adaptive Fuzzy ◽

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Adaptive Fuzzy Finite-time Control for Uncertain Nonlinear Systems with Dead-zone Input

International Journal of Control Automation and Systems ◽

10.1007/s12555-018-0118-6 ◽

2018 ◽

Vol 16 (5) ◽

pp. 2549-2558 ◽

Author(s):

Wenshun Lv ◽

Fang Wang ◽

Lili Zhang

Keyword(s):

Nonlinear Systems ◽

Finite Time ◽

Dead Zone ◽

Uncertain Nonlinear Systems ◽

Adaptive Fuzzy ◽

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Adaptive Fuzzy Tracking Control of Uncertain Nonlinear Systems Subject to Actuator Dead Zone With Piecewise Time-Varying Parameters

IEEE Transactions on Fuzzy Systems ◽

10.1109/tfuzz.2018.2882170 ◽

2019 ◽

Vol 27 (7) ◽

pp. 1493-1505 ◽

Author(s):

Kaixin Lu ◽

Zhi Liu ◽

Guanyu Lai ◽

Yun Zhang ◽

C. L. Philip Chen

Keyword(s):

Nonlinear Systems ◽

Tracking Control ◽

Dead Zone ◽

Time Varying ◽

Uncertain Nonlinear Systems ◽

Varying Parameters ◽

Adaptive Fuzzy ◽

Time Varying Parameters

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Adaptive fuzzy-neural control with state observer for unknown nonlinear systems via H/sup ∞/ approaches

Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02. ◽

10.1109/iconip.2002.1198999 ◽

2003 ◽

Author(s):

H.F. Ho ◽

Y. Wong ◽

A.B. Rad

Keyword(s):

Nonlinear Systems ◽

Neural Control ◽

State Observer ◽

Adaptive Fuzzy ◽

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Robust Adaptive Fuzzy Sliding Mode Control for a Class of Uncertain Nonlinear Systems with Unknown Dead-Zone

2006 IEEE International Conference on Fuzzy Systems ◽

10.1109/fuzzy.2006.1681757 ◽

2006 ◽

Author(s):

Chiang-Cheng Chiang ◽

Chih-Cheng Yang

Keyword(s):

Nonlinear Systems ◽

Sliding Mode Control ◽

Sliding Mode ◽

Dead Zone ◽

Uncertain Nonlinear Systems ◽

Fuzzy Sliding Mode Control ◽

Adaptive Fuzzy ◽

Adaptive Fuzzy Sliding Mode ◽

Fuzzy Sliding Mode ◽

Robust Adaptive

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Observer-Based Direct Adaptive Fuzzy-Neural Control for Nonaffine Nonlinear Systems

IEEE Transactions on Neural Networks ◽

10.1109/tnn.2005.849824 ◽

2005 ◽

Vol 16 (4) ◽

pp. 853-861 ◽

Author(s):

Y.-G. Leu ◽

W.-Y. Wang ◽

T.-T. Lee

Keyword(s):

Nonlinear Systems ◽

Neural Control ◽

Adaptive Fuzzy ◽

Fuzzy Neural ◽

Nonaffine Nonlinear Systems

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Direct Adaptive Fuzzy-Neural Control for MIMO Nonlinear Systems Via Backstepping

Advances in Neural Networks – ISNN 2007 - Lecture Notes in Computer Science ◽

10.1007/978-3-540-72383-7_1 ◽

2007 ◽

pp. 1-7 ◽

Author(s):

Shaocheng Tong ◽

Yongming Li

Keyword(s):

Nonlinear Systems ◽

Neural Control ◽

Mimo Nonlinear Systems ◽

Adaptive Fuzzy ◽

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Observer-based adaptive fuzzy-neural control for a class of MIMO nonlinear systems

2000 26th Annual Conference of the IEEE Industrial Electronics Society. IECON 2000. 2000 IEEE International Conference on Industrial Electronics, Control and Instrumentation. 21st Century Technologies and Industrial Opportunities (Cat. No.00CH37141) ◽

10.1109/iecon.2000.973146 ◽

2002 ◽

Author(s):

Yih-Guang Leu ◽

Tsu-Tian Lee

Keyword(s):

Nonlinear Systems ◽

Neural Control ◽

Mimo Nonlinear Systems ◽

Adaptive Fuzzy ◽

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