In March 2018, Dr. John S. Bay, professor of Electrical and Computer Engineering and associate dean for research and graduate studies for the Thomas J. Watson School of Engineering and Applied Science, added a book he authored, Fundamentals of Linear State Space Systems, as an open educational resource (OER) to Binghamton University’s institutional repository, The ORB. In its first month on The ORB, there have been 216 downloads of his book and at least three universities that have officially adopted it.
Dr. Bay’s book addresses two primary deficiencies in the linear systems textbook market: a lack of development of state space methods from the basic principles and a lack of pedagogical focus. The book uses the geometric intuition provided by vector space analysis to develop in a very sequential manner all the essential topics in linear state system theory that a senior or beginning graduate student should know. Because it derives state space methods from linear algebra and vector spaces and ties all the topics together with diverse applications, this book is suitable for students from any engineering discipline, not just those with control systems backgrounds and interests. The book includes both discrete- and continuous-time systems, introducing them in parallel and emphasizing each in appropriate context.
To download Dr. Bay’s book, or chapters from his book, you can do so here.
John S. Bay, professor of Electrical and Computer Engineering, was appointed Associate Dean for Research and Graduate Studies of the Thomas J. Watson School of Engineering and Applied Science in June of 2016. Dr. Bay’s experience has spanned academia, large business, small business, entrepreneurship, not-for-profit institutions and federal research laboratories.
Dr. Bay received his Ph.D. in Electrical Engineering from The Ohio State University in 1988. His research and teaching foci include cybersecurity, model-based integration of complex systems, control theory, robotics and machine learning, data analytics and command-and-control.
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