Linear Dynamic Systems and Signals

The author's twelve years of experience with linear systems and signals are reflected in this comprehensive book. The book contains detailed linear systems theory essentials. The intent of this book is to develop the unified techniques to recognize and solve linear dynamical system problems regardless of their origin. Includes Space state techniques as the time domain approach for studying linear systems. Provides a solid foundation on linear dynamic systems and corresponding systems using the dynamic system point of view. Parallels continuous- and discrete-time linear systems throughout to help users grasp the similarities and differences of each. Three part organization: Part I covers frequency-domain approach to linear dynamic systems, Part II covers the time-domain approach to linear dynamic systems, and Part III discusses the linear system approach to electrical engineering, to allow the user to focus of the subject matter as it pertains to their needs. For anyone interested in linear systems and signals

Zoran Gajic. Professor Zoran Gajic has been teaching linear systems, controls, and networking courses in the Electrical and Computer Engineering Department at Rutgers University, New Jersey since 1984. He is the author or coauthor of more than fifty journal papers, primarily published in IEEE Transactions on Automatic Control and IFAC Automatica journals, and seven books in the fields of linear and bilinear control systems published by Academic Press, Prentice Hall International, Marcel Dekker, and Springer Verlag. Professor Gajic has delivered two plenary lectures at international conferences and presented almost 100 conference papers. He serves on the editorial board of the journal Dynamics of Continuous, Discrete, and Impulsive Systems, and has been a guest editor of a special issue of that journal, on control systems technology. Professor Gajic received the B.S. and M.S. degrees in Electrical Engineering from the University of Belgrade, and the M.S. degree in Applied Mathematics and the Ph.D. degree in Systems Science Engineering from Michigan State University. He is a life master of the U.S. Chess Federation and a master of the World Chess Federation.