IGI Global Advances in System Dynamics and Control (Advances in Systems Analysis, Software Engineering, and High Performance Computing)

Product Description Complex systems are pervasive in many areas of science. With the increasing requirement for high levels of system performance, complex systems has become an important area of research due to its role in many industries. Advances in System Dynamics and Control provides emerging research on the applications in the field of control and analysis for complex systems, with a special emphasis on how to solve various control design and observer design problems, nonlinear systems, interconnected systems, and singular systems. Featuring coverage on a broad range of topics, such as adaptive control, artificial neural network, and synchronization, this book is an important resource for engineers, professionals, and researchers interested in applying new computational and mathematical tools for solving the complicated problems of mathematical modeling, simulation, and control. About the Author Dr. Ahmad Taher Azar has received the M.Sc. degree in 2006 and Ph.D degree in 2009 from Faculty of Engineering, Cairo University, Egypt. He is currently a full time associate professor, Faculty of computers and information, Benha University, Egypt. Dr. Azar is the Editor in Chief of International Journal of System Dynamics Applications (IJSDA) , published by IGI Global, USA. Also, he is the Editor in Chief of International Journal of Intelligent Engineering Informatics (IJIEI) , Inderscience Publishers, Olney, UK. Dr. Azar has worked as associate editor of IEEE Trans. Neural Networks and Learning Systems from 2013 to 2017. He is currently Associate Editor of ISA Transactios, Elsevier and IEEE systems journal . Dr. Ahmad Azar has worked in the areas of Control Theory & Applications, Process Control, Chaos Control and Synchronization, Nonlinear control, Computational Intelligence and has authored/coauthored over 200 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 Machine learning. 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. Dr Ahmad Azar is currently a senior member in IEEE, Chair of IEEE Computational Intelligence Society (CIS) Egypt Chapter, Vice chair of IEEE Computational Intelligence Society Interdisciplinary Emergent Technologies Task Force, vice-Chair Research Activities of IEEE Robotics and Automation Society Egypt Chapter , and Committee member of IEEE CIS Task Force on Fuzzy Logic in Medical Sciences . Also, he is the Vice-president (North) of System dynamics Africa Regional Chapter and an Academic Member of IEEE Systems, Man, and Cybernetics Society Technical Committee on Computational Collective Intelligence.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, Optim