Handbook of Research on Advanced Intelligent Control Engineering and Automation
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Handbook of Research on Advanced Intelligent Control Engineering and Automation

Ahmad Taher Azar, Sundarapandian Vaidyanathan
Indexed In: SCOPUS View 2 More Indices
Release Date: November, 2014|Copyright: © 2015 |Pages: 794
DOI: 10.4018/978-1-4666-7248-2
ISBN13: 9781466672482|ISBN10: 146667248X|EISBN13: 9781466672499
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Description & Coverage
Description:

In industrial engineering and manufacturing, control of individual processes and systems is crucial to developing a quality final product. Rapid developments in technology are pioneering new techniques of research in control and automation with multi-disciplinary applications in electrical, electronic, chemical, mechanical, aerospace, and instrumentation engineering.

The Handbook of Research on Advanced Intelligent Control Engineering and Automation presents the latest research into intelligent control technologies with the goal of advancing knowledge and applications in various domains. This text will serve as a reference book for scientists, engineers, and researchers, as it features many applications of new computational and mathematical tools for solving complicated problems of mathematical modeling, simulation, and control.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Applications of Control Systems
  • Chaotic Systems
  • Intelligent Control
  • Mechanical Systems
  • Nonlinear Control Systems
  • Power Systems
  • Robotics
  • Soft-Computing Techniques
  • Switched Control Systems
  • Time-Delay Control Systems
Reviews & Statements

This reference for scientists and engineers presents analysis and design of various types of control systems, such as adaptive control, nonlinear control, and intelligent control. The book’s international contributors are experts and researchers in electrical engineering, physics, and system dynamics; many are from Tunisia and Algeria. The book’s 25 chapters are grouped in six sections on nonlinear control systems, chaos and control applications, intelligent control applications, robotics and control applications, time-delay and switched control systems, and power systems and engineering applications. Some specific subjects addressed include a random bit generator based on non-autonomous chaotic systems, discrete-time approximation of multivariable continuous-time delay systems, and stabilization and control of mechanical systems with backlash.

– ProtoView Book Abstracts (formerly Book News, Inc.)
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Editor/Author Biographies
Ahmad Azar has received the M.Sc. degree (2006) in System Dynamics and Ph.D degree (2009) in Adaptive Neuro-Fuzzy Systems from the Faculty of Engineering, Cairo University (Egypt). He is currently an Assistant Professor, Faculty of Computers and Information, Benha University, Egypt. Dr. Azar is the Editor in Chief of three journals published by IGI Global, USA entitled International Journal of System Dynamics Applications (IJSDA), International Journal of Rough Sets and Data Analysis (IJRSDA) and International Journal of Service Science, Management, Engineering, and Technology (IJSSMET). He is an associate editor of IEEE Trans. Neural Networks and Learning Systems. Dr. Ahmad Azar has worked in the areas of System Dynamics, Intelligent Control, Soft Computing and Modelling in Biomedicine and has authored/coauthored over 120 research publications in peer-reviewed reputed journals, book chapters and conference proceedings. He is an editor of many books in the field of Fuzzy Logic Systems, Modeling Techniques, Control Systems, Computational Intelligence, Chaos Modeling and Biomedical Engineering. Dr. Ahmad Azar is closely associated with several international journals as a reviewer. He serves as international programme committee member in many international and peer-reviewed conferences. His biography was selected to appear in the 27th, 29th and 31th Editions of Who's Who in the World, Marquis Who's Who, USA, 2010, 2012 and 2014 respectively. Recently, his biography was selected to appear in the 67th and 68th Editions Who's Who in America, Marquis Who's Who, USA, 2013 and 2014, respectively. Dr. Ahmad Azar is currently the Vice chair of IEEE Computational Intelligence Society (CIS) Egypt Chapter and Vice President Of Egypt System Dynamics Chapter. He is an Academic Member of IEEE Systems, Man, and Cybernetics Society Technical Committee on Computational Collective Intelligence and also a member in KES Focus Group on Agent and Multi-agent Systems. Dr. Ahmad Azar's research interests include: Soft Computing, Data Mining, Machine Learning, Rough Set, Mathematical Modeling and Computer Simulation, Modeling of Biomedical Systems, Automatic Control Systems, System Dynamics, Process Control, Robotics and Systems, Intelligent Control Systems, Computational Intelligence, Signals and Systems, Probability and Statistical Analysis, Computer Aided Diagnosis, Urea Kinetic Modeling, and Biofeedback Systems.
Sundarapandian Vaidyanathan has received the Doctor of Science (D.Sc.) degree (1996) in the Department of Electrical and Systems Engineering from Washington University, St. Louis, Missouri, U.S.A. He is currently the Professor and Dean, Research and Development Centre at Vel Tech University, Avadi, Chennai, India. Dr. Sundarapandian is the Associate Editor of two journals published by IGI Global, USA entitled International Journal of System Dynamics Applications (IJSDA) and International Journal of Rough Sets and Data Analysis (IJRSDA). He has published over 130 Scopus-indexed research publications and five books. He is an active researcher in the areas of Chaos and Control and constructed many novel chaotic and hyperchaotic systems in the chaos literature. He has given many plenary lectures in International Conferences on Control Engineering, Computer Science and information Technology. Dr. Sundarapandian’s research interests include: Control Systems, Dynamical Systems, Stability Theory, Chaos Theory, Computational Science, Mathematical Modelling, Optimal Control, Robotics, Operations Research and Intelligent Control.
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