Editors:
- Presents the emerging computational intelligence paradigms in control systems engineering
- Including some real world applications
- Written by leading experts in the field
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Computational Intelligence (SCI, volume 561)
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Table of contents (8 chapters)
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Front Matter
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Back Matter
About this book
This research monograph presents selected areas of applications in the field of control systems engineering using computational intelligence methodologies. A number of applications and case studies are introduced. These methodologies are increasing used in many applications of our daily lives. Approaches include, fuzzy-neural multi model for decentralized identification, model predictive control based on time dependent recurrent neural network development of cognitive systems, developments in the field of Intelligent Multiple Models based Adaptive Switching Control, designing military training simulators using modelling, simulation, and analysis for operational analyses and training, methods for modelling of systems based on the application of Gaussian processes, computational intelligence techniques for process control and image segmentation technique based on modified particle swarm optimized-fuzzy entropy.
Editors and Affiliations
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Department of Automation and Applied Informatics, "Aurel Vlaicu" University of Arad, Arad, Romania
Valentina Emilia Balas
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Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Sofia, Bulgaria
Petia Koprinkova-Hristova
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Faculty of Education, Science, Technology and Mathematics, University of Canberra, Canberra, Australia
Lakhmi C. Jain
Bibliographic Information
Book Title: Innovations in Intelligent Machines-5
Book Subtitle: Computational Intelligence in Control Systems Engineering
Editors: Valentina Emilia Balas, Petia Koprinkova-Hristova, Lakhmi C. Jain
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-662-43370-6
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2014
Hardcover ISBN: 978-3-662-43369-0Published: 11 June 2014
Softcover ISBN: 978-3-662-52156-4Published: 17 September 2016
eBook ISBN: 978-3-662-43370-6Published: 22 May 2014
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XV, 248
Number of Illustrations: 129 b/w illustrations
Topics: Computational Intelligence, Control and Systems Theory, Artificial Intelligence