A new approach for modeling and control of MIMO nonlinear systems

2000 TENCON Proceedings. Intelligent Systems and Technologies for the New Millennium (Cat. No.00CH37119) ◽

10.1109/tencon.2000.892315 ◽

2002 ◽

Author(s):

S. Munzir ◽

H.M. Mohamed ◽

M.Z. Abdulmuin

Keyword(s):

Nonlinear Systems ◽

New Approach ◽

Modeling And Control ◽

Mimo Nonlinear Systems ◽

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Fuzzy modeling and control of a class of non‐differentiable multi‐input multi‐output nonlinear systems

Asian Journal of Control ◽

10.1002/asjc.2530 ◽

2021 ◽

Author(s):

Kazem Zare ◽

Mokhtar Shasadeghi ◽

Afshin Izadian ◽

Taher Niknam ◽

Mohammad Hassan Asemani

Keyword(s):

Nonlinear Systems ◽

Fuzzy Modeling ◽

Modeling And Control ◽

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Online adaptive fuzzy neural identification and control of a class of mimo nonlinear systems

IEEE Transactions on Fuzzy Systems ◽

10.1109/tfuzz.2003.814833 ◽

2003 ◽

Vol 11 (4) ◽

pp. 462-477 ◽

Author(s):

Yang Gao ◽

Meng Joo Er

Keyword(s):

Nonlinear Systems ◽

Mimo Nonlinear Systems ◽

Adaptive Fuzzy ◽

Fuzzy Neural ◽

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An Adaptive Neuro-Fuzzy Approach for Modeling and Control of Nonlinear Systems

Computational Science - ICCS 2001 - Lecture Notes in Computer Science ◽

10.1007/3-540-45718-6_22 ◽

2001 ◽

pp. 198-207

Author(s):

Otman M. Ahtiwash ◽

Mohd Zai Abdulmuin

Keyword(s):

Nonlinear Systems ◽

Fuzzy Approach ◽

Modeling And Control ◽

Neuro Fuzzy ◽

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Nonlinear Systems Modeling and Control Using Support Vector Machine Technique

Computer Science – Theory and Applications - Lecture Notes in Computer Science ◽

10.1007/11753728_66 ◽

2006 ◽

pp. 660-669 ◽

Author(s):

Haoran Zhang ◽

Xiaodong Wang

Keyword(s):

Support Vector Machine ◽

Nonlinear Systems ◽

Support Vector ◽

Systems Modeling ◽

Modeling And Control ◽

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Modeling and Control of Uncertain Nonlinear Systems with Fuzzy Equations and Z‐Number

10.1002/9781119491514 ◽

2019 ◽

Author(s):

Wen Yu ◽

Raheleh Jafari

Keyword(s):

Nonlinear Systems ◽

Uncertain Nonlinear Systems ◽

Modeling And Control ◽

And Control ◽

Fuzzy Equations

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Artificial Intelligence: A New Approach to Modeling and Control

IFAC Proceedings Volumes ◽

10.1016/s1474-6670(17)57534-5 ◽

1988 ◽

Vol 21 (1) ◽

pp. 51-60 ◽

Author(s):

B.J. Kuipers

Keyword(s):

Artificial Intelligence ◽

New Approach ◽

Modeling And Control ◽

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Robust composite adaptive fuzzy identification and control for a class of MIMO nonlinear systems

Proceedings of the 2011 American Control Conference ◽

10.1109/acc.2011.5991419 ◽

2011 ◽

Author(s):

D. Kim ◽

H. Chung ◽

S. Bhasin ◽

W. E. Dixon

Keyword(s):

Nonlinear Systems ◽

Fuzzy Identification ◽

Mimo Nonlinear Systems ◽

Adaptive Fuzzy ◽

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A new approach to design robust backstepping controller for MIMO nonlinear systems with input unmodeled dynamics

Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference ◽

10.1109/cdc.2009.5400937 ◽

2009 ◽

Author(s):

Wei Wang ◽

Changyun Wen

Keyword(s):

Nonlinear Systems ◽

Unmodeled Dynamics ◽

New Approach ◽

Mimo Nonlinear Systems ◽

Backstepping Controller

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Intelligent control using θ-adaptive neural networks: a new approach to identification and control of nonlinear systems

Proceedings of 1995 American Control Conference - ACC'95 ◽

10.1109/acc.1995.520969 ◽

2005 ◽

Author(s):

A.M. Annaswamy ◽

S. Yu

Keyword(s):

Neural Networks ◽

Nonlinear Systems ◽

Intelligent Control ◽

New Approach ◽

Adaptive Neural Networks ◽

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Intelligent modeling and control for nonlinear systems with rate-dependent hysteresis

Science in China Series F Information Sciences ◽

10.1007/s11432-009-0026-8 ◽

2009 ◽

Vol 52 (4) ◽

pp. 656-673 ◽

Author(s):

JianQin Mao ◽

HaiShan Ding

Keyword(s):

Nonlinear Systems ◽

Modeling And Control ◽

Intelligent Modeling ◽

Rate Dependent ◽

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