Springer Recent Advances in Control Problems of Dynamical Systems and Networks: 301 (Studies in Systems, Decision and Control, 301)

This edited book introduces readers to new analytical techniques and controller design schemes used to solve the emerging “hottest” problems in dynamic control systems and networks.   In recent years, the study of dynamic systems and networks has faced major changes and challenges with the rapid advancement of IT technology, accompanied by the 4th Industrial Revolution. Many new factors that now have to be considered, and which haven’t been addressed from control engineering perspectives to date, are naturally emerging as the systems become more complex and networked. The general scope of this book includes the modeling of the system itself and uncertainty elements, examining stability under various criteria, and controller design techniques to achieve specific control objectives in various dynamic systems and networks.  In terms of traditional stability matters, this includes the following special issues: finite-time stability and stabilization, consensus/synchronization, fault-tolerant control, event-triggered control, and sampled-data control for classical linear/nonlinear systems, interconnected systems, fractional-order systems, switched systems, neural networks, and complex networks. In terms of introducing graduate students and professional researchers studying control engineering and applied mathematics to the latest research trends in the areas mentioned above, this book offers an excellent guide.   From the Back Cover This edited book introduces readers to new analytical techniques and controller design schemes used to solve the emerging “hottest” problems in dynamic control systems and networks.   In recent years, the study of dynamic systems and networks has faced major changes and challenges with the rapid advancement of IT technology, accompanied by the 4th Industrial Revolution. Many new factors that now have to be considered, and which haven’t been addressed from control engineering perspectives to date, are naturally emerging as the systems become more complex and networked. The general scope of this book includes the modeling of the system itself and uncertainty elements, examining stability under various criteria, and controller design techniques to achieve specific control objectives in various dynamic systems and networks.  In terms of traditional stability matters, this includes the following special issues: finite-time stability and stabilization, consensus/synchronization, fault-tolerant control, event-triggered control, and sampled-data control for classical linear/nonlinear systems, interconnected systems, fractional-order systems, switched systems, neural networks, and complex networks. In terms of introducing graduate students and professional researchers studying control engineering and applied mathematics to the latest research trends in the areas mentioned above, this book offers an excellent guide.   About the Author Ju H. Park (Jessie Park) received the Ph.D. degree in Electronics and Electrical Engineering from Pohang University of Science and Technology(POSTECH), Pohang, Republic of Korea, in 1997. From May 1997 to February 2000, he was a Research Associate Fellow in Engineering Research Center-Automation Research Center, POSTECH. He joined Yeungnam University, Kyongsan, Republic of Korea, in March 2000, where he is currently the Chuma Chair Professor.  From 2006 to 2007, he was a visiting professor in the Department of Mechanical Engineering, Georgia Institute of Technology. His research interests include robust control and filtering, neural networks, complex networks, fuzzy systems, multi-agent systems, chaotic systems, embedded systems, signal processing, intelligent vehicles, and applied mathematics. He has published a number of papers more than 600 in top leading journals and two books titled “Recent Advances in Control and Filtering of Dynamic Systems with Constrained Signals” and “Dynamic Systems with Tim