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

Description: Intelligent Control by Nazmul Siddique 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. FORMAT Hardcover LANGUAGE English CONDITION Brand New Publisher Description Intelligent Control considers 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 Control will be of interest to researchers from engineering and computer science backgrounds working in the intelligent and adaptive control. Back Cover Intelligent Control considers 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 Control will be of interest to researchers from engineering and computer science backgrounds working in the intelligent and adaptive control. Author Biography 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 Control and Systems Engineering, University of Sheffield, England in 2003. He has been a Lecturer in the School of Computing and Intelligent Systems, University of Ulster at Magee, UK since 2001. Dr. Siddiques research interests relate to intelligent systems, computational intelligence, stochastic systems, Markov models, and complex systems. Dr. Siddique has published over 110 journal/refereed conference papers including 7 book chapters and co-authored two books (to be published by John Wiley and Springer verlag in 2012). He guest edited 5 special issues of reputed journals. He co-edited seven conference proceedings. He has served as committee members and chairs of a number of national and international conferences. He is an editor of the Journal of Behavioural Robotics, associate editor of Journal of Engineering Letters and member of the editorial advisory board of International Journal of Neural Systems. He is a senior member of IEEE and is on the executive committee of the IEEE SMC UK-RI Chapter. 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. Review 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) Review Quote 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) Feature Includes supplementary material: sn.pub/extras Details ISBN3319021346 Author Nazmul Siddique Short Title INTELLIGENT CONTROL 2014/E Series Studies in Computational Intelligence Language English ISBN-10 3319021346 ISBN-13 9783319021348 Media Book Format Hardcover DEWEY 003.3 Series Number 517 Year 2013 Imprint Springer International Publishing AG Subtitle A Hybrid Approach Based on Fuzzy Logic, Neural Networks and Genetic Algorithms Place of Publication Cham Country of Publication Switzerland Pages 282 Edition 2014th DOI 10.1007/978-3-319-02135-5 Publication Date 2013-12-16 Publisher Springer International Publishing AG Edition Description 2014 ed. Alternative 9783319343488 Audience Professional & Vocational Illustrations 55 Illustrations, color; 103 Illustrations, black and white; XVII, 282 p. 158 illus., 55 illus. in color. We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:96376826;

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