Hybrid Soft Computing Models for Systems Modeling and Control

Encyclopedia of Complexity and Systems Science ◽

10.1007/978-0-387-30440-3_277 ◽

2009 ◽

pp. 4696-4713 ◽

Cited By ~ 1

Author(s):

Oscar Castillo ◽

Patricia Melin

Keyword(s):

Soft Computing ◽

Systems Modeling ◽

Modeling And Control ◽

And Control ◽

Computing Models

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Hybrid Soft Computing Models for Systems Modeling and Control

10.1007/springerreference_60449 ◽

2011 ◽

Keyword(s):

Soft Computing ◽

Systems Modeling ◽

Modeling And Control ◽

And Control ◽

Computing Models

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Hybrid Soft Computing Models for Systems Modeling and Control

Computational Complexity ◽

10.1007/978-1-4614-1800-9_99 ◽

2012 ◽

pp. 1547-1563

Author(s):

Oscar Castillo ◽

Patricia Melin

Keyword(s):

Soft Computing ◽

Systems Modeling ◽

Modeling And Control ◽

And Control ◽

Computing Models

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A Parametric Event-Driven Flowed Token Petri Nets for Generic Agile Systems Modeling and Control

2006 IEEE International Conference on Systems, Man and Cybernetics ◽

10.1109/icsmc.2006.384450 ◽

2006 ◽

Cited By ~ 1

Author(s):

Yuan-Chen Yu ◽

Yao-Te Hsieh

Keyword(s):

Petri Nets ◽

Systems Modeling ◽

Modeling And Control ◽

Event Driven ◽

And Control

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Soft computing based signal processing approaches for supporting modeling and control of engineering systems - a case study

2010 IEEE 14th International Conference on Intelligent Engineering Systems ◽

10.1109/ines.2010.5483864 ◽

2010 ◽

Cited By ~ 1

Author(s):

Terez A. Varkonyi

Keyword(s):

Signal Processing ◽

Soft Computing ◽

Engineering Systems ◽

Modeling And Control ◽

And Control

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Prediction of Standardized Energy Consumption of Existing Buildings Based on Hybrid Systems Modeling and Control

2018 IEEE Conference on Decision and Control (CDC) ◽

10.1109/cdc.2018.8619086 ◽

2018 ◽

Author(s):

Balsam Ajib ◽

Sanda Lefteriu ◽

Antoine Caucheteux ◽

Stephane Lecoeuche ◽

Jordan Gauvrit

Keyword(s):

Energy Consumption ◽

Hybrid Systems ◽

Systems Modeling ◽

Existing Buildings ◽

Modeling And Control ◽

And Control

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Modeling and control of non-linear systems using soft computing techniques

Applied Soft Computing ◽

10.1016/j.asoc.2005.12.005 ◽

2007 ◽

Vol 7 (3) ◽

pp. 728-738 ◽

Cited By ~ 65

Author(s):

M.A. Denaï ◽

F. Palis ◽

A. Zeghbib

Keyword(s):

Linear Systems ◽

Soft Computing ◽

Modeling And Control ◽

Soft Computing Techniques ◽

Non Linear ◽

Non Linear Systems ◽

And Control

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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 ◽

Cited By ~ 3

Author(s):

Haoran Zhang ◽

Xiaodong Wang

Keyword(s):

Support Vector Machine ◽

Nonlinear Systems ◽

Support Vector ◽

Systems Modeling ◽

Modeling And Control ◽

And Control

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EO for Systems Modeling and Control

Extremal Optimization ◽

10.1201/b19572-7 ◽

2018 ◽

pp. 215-269

Author(s):

Yong-Zai Lu ◽

Yu-Wang Chen ◽

Min-Rong Chen ◽

Peng Chen ◽

Guo-Qiang Chen

Keyword(s):

Systems Modeling ◽

Modeling And Control ◽

And Control

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Book review - Large scale systems: Modeling and control

IEEE Control Systems Magazine ◽

10.1109/mcs.1985.1104904 ◽

1985 ◽

Vol 5 (1) ◽

pp. 39-40

Author(s):

M. Sundareshan

Keyword(s):

Large Scale ◽

Systems Modeling ◽

Modeling And Control ◽

Large Scale Systems ◽

And Control

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Complex Stochastic Systems Modeling and Control via Iterative Machine Learning

2006 IEEE International Conference on Engineering of Intelligent Systems ◽

10.1109/iceis.2006.1703131 ◽

2006 ◽

Author(s):

Hong Wang

Keyword(s):

Machine Learning ◽

Stochastic Systems ◽

Systems Modeling ◽

Modeling And Control ◽

And Control

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