Intelligent Control: A Hybrid Approach Based on Fuzzy Logic, Neural Networks and Genetic Algorithms by Nazmul SiddiqueIntelligent Control: A Hybrid Approach Based on Fuzzy Logic, Neural Networks and Genetic Algorithms by Nazmul Siddique

Intelligent Control: A Hybrid Approach Based on Fuzzy Logic, Neural Networks and Genetic Algorithms

byNazmul Siddique

Hardcover | December 16, 2013

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Intelligent Controlconsiders non-traditional modelling and control approaches to nonlinear systems. Fuzzy logic, neural networks and evolutionary computing techniques are the main tools used. The book presents a modular switching fuzzy logic controller where a PD-type fuzzy controller is executed first followed by a PI-type fuzzy controller thus improving the performance of the controller compared with a PID-type fuzzy controller. The advantage of the switching-type fuzzy controller is that it uses one rule-base thus minimises the rule-base during execution. A single rule-base is developed by merging the membership functions for change of error of the PD-type controller and sum of error of the PI-type controller. Membership functions are then optimized using evolutionary algorithms. Since the two fuzzy controllers were executed in series, necessary further tuning of the differential and integral scaling factors of the controller is then performed. Neural-network-based tuning for the scaling parameters of the fuzzy controller is then described and finally an evolutionary algorithm is applied to the neurally-tuned-fuzzy controller in which the sigmoidal function shape of the neural network is determined.

The important issue of stability is addressed and the text demonstrates empirically that the developed controller was stable within the operating range. The text concludes with ideas for future research to show the reader the potential for further study in this area.

Intelligent Controlwill be of interest to researchers from engineering and computer science backgrounds working in the intelligent and adaptive control.

Nazmul H. Siddique graduated from Dresden University of Technology, Germany in Cybernetics and Automation Engineering in 1989. He obtained M. Sc. Eng. in Computer Science and Engineering from Bangladesh University of Engineering and Technology (BUET) in 1995. He received his PhD in intelligent control from the Department of Automatic C...
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Title:Intelligent Control: A Hybrid Approach Based on Fuzzy Logic, Neural Networks and Genetic AlgorithmsFormat:HardcoverDimensions:282 pagesPublished:December 16, 2013Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3319021346

ISBN - 13:9783319021348

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Reviews

Table of Contents

Introduction.- Dynamical Systems.- Control Systems.- Mathematics of Fuzzy Control.- Fuzzy Control.- GA-Fuzzy Control.- Neuro-Fuzzy Control.- GA-Neuro-Fuzzy Control.- Stability Analysis.- Epilogue and Future Work.

Editorial Reviews

From the book reviews:"This research monograph offers a concise introduction to the contemporary controllers based on computational intelligence and revolves around the constructs of fuzzy controllers whose development is supported by various mechanisms of neurocomputing and evolutionary optimization. . The references are representative, carefully selected to serve well the purpose to support the essential subject matters covered in the book. . this book can appeal to a broad readership of those interested in fuzzy control, intelligent systems, robotics . ." (Witold Pedrycz, zbMATH 1307.93004, 2015)