“Introduction to Modern Controls“ uses modern computing tools such as MATLAB and Python to teach modern control systems. You will learn how to use statespace methods to make, study, and control dynamic systems. You will explore topics like state-space models and solutions, stability, controllability, observability, state-feedback control, optimal control, observers, observer state feedback controls, least square estimation, Kalman filter, and Linear Quadratic Gaussian optimal control. You will see how these topics work in both continuous- and discrete-time settings. Substantial example codes, figures, and illustrations on physical systems supplement your learning. This book is supported by a suite of online resources including source code, lecture slides, lecture recordings, and exercises at the end of each chapter. Read more at https://mcimp-book.github.io/mcimp/. Product details Language: ‎ English Print length: 435 pages Xu Chen is an Associate Professor and holds the Bryan T. McMinn Endowed Research Professorship of Mechanical Engineering at the University of Washington (UW), Seattle. He obtained his Ph.D. degree in mechanical engineering from UC Berkeley in 2013. He researches dynamic systems, controls, and robotics, to better understand and engineer smart manufacturing. He currently serves as Director of the Boeing Advanced Research Collaboration at the UW -- an interdisciplinary Boeing-UW partnership for the future of flight. Xu Chen is an alumnus of the National Academy of Engineering’s 2023 Frontiers of Engineering Symposium, a recipient of the National Science Foundation CAREER Award, the SME Sandra L. Bouckley Outstanding Young Manufacturing Engineer Award, and the Mechatronic Systems Outstanding Young Researcher Award from the International Federation of Automatic Control (IFAC) Technical Committee on Mechatronic Systems. Masayoshi Tomizuka holds the Cheryl and John Neerhout, Jr ., Distinguished Professorship Chair at the Mechanical Engineering Department, UC Berkeley. His current research interests are optimal and adaptive control, digital control, motion control, and control problems related to robotics and manufacturing, vehicles and mechatronic systems. He served as Program Director of the Dynamic Systems and Control Program of the National Science Foundation (2002-2004), President of the American Automatic Control Council (AACC) (1998-99), and is a member of the U.S. National Academy of Engineering.