Advances in Fuzzy Systems

Advances in Fuzzy Systems / 2013 / Article
Special Issue

Fuzzy Logic Applications in Control Theory and Systems Biology

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Editorial | Open Access

Volume 2013 |Article ID 504728 | https://doi.org/10.1155/2013/504728

Sendren Sheng-Dong Xu, Hao Ying, Pablo Carbonell, Ching-Hung Lee, Wei-Sheng Wu, "Fuzzy Logic Applications in Control Theory and Systems Biology", Advances in Fuzzy Systems, vol. 2013, Article ID 504728, 1 page, 2013. https://doi.org/10.1155/2013/504728

Fuzzy Logic Applications in Control Theory and Systems Biology

Received02 May 2013
Accepted02 May 2013
Published19 Jun 2013

Fuzzy logic has shown itself to be a powerful design and analysis methodology in control theory, enabling the implementation of advanced knowledge-based control strategies for complex dynamic systems such as those emerging applications for systems and synthetic biology. This special issue on advanced fuzzy logic applications compiles seven exciting manuscripts. Four of the manuscripts discuss the effectiveness in applying fuzzy logic to solving control issues. The other three papers discuss the fuzzy retractions, fuzzification, and the fuzzy application in transportation systems.

S. Simani proposes the application of a data-driven fuzzy control design to a wind turbine benchmark model. The author discusses the fuzzy modeling and identification and suggests a fuzzy control approach for the adjustment of both the wind turbine blade pitch angle and the generator torque. H. Benítez-Pérez, A. Benítez-Pérez, J. Ortega-Arjona, and O. Esquivel-Flores discuss a way to tackle multiple time delays that are bounded and the dynamic response from real-time scheduling approximation. D. Krokavec and A. Filasová explore the new conditions suitable for design of a stabilizing output controller for a class of continuous-time Takagi-Sugeno nonlinear systems. N. V. Kolesov discusses the fault diagnosis using fuzzy interacting observers. Three different models of faults are considered, including structural changes, faults in the signal space, and faults in the parameter space. A. Paz, P. Maheshwari, P. Kachroo, and S. Ahmad discuss the estimation of performance indices for the planning of sustainable transportation systems by fuzzy logic. A. E. El-Ahmady and A. S. Al-Luhaybi study new types of fuzzy retractions of fuzzy open flat Robertson-Walker space. Finally, H. V. Kumbhojkar discusses the fuzzification of prime ideals of hemirings. Minimum imperative for proper fuzzification is suggested.

By compiling these articles, we hope to enrich our readers and researchers with respect to these particularly relevant, yet usually highly treatable, fuzzy logic applications.

Sendren Sheng-Dong Xu
Hao Ying
Pablo Carbonell
Ching-Hung Lee
Wei-Sheng Wu

Copyright © 2013 Sendren Sheng-Dong Xu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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