Master the principles and practices of modern control systems using a state-space approach. Ideal for advanced undergraduate and graduate courses, this electrical Engineering textbook offers comprehensive coverage of control systems and their design. Written by a recognised expert in the field, The book uses a state-space approach to examine topics of pole placement and observer design, Liapunov stability, optimal control, Kalman filtering, and linear Quadratic Gaussian control (lqg). modern control systems: state space approach features detailed, hands-on design projects as well as snippets of MATLAB code with simulations. The essential Mathematics are presented along with fully worked-out examples in gradually increasing degrees of difficulty. Readers will receive “just-in-time” math background from a comprehensive Appendix, as well as algorithmic step-by-step descriptions of analysis and design procedures. Highlights: \n1. Cuts down on the theory behind control systems and focuses on practice \n2. Includes a set of videos demonstrating the solutions for the more challenging questions \n3. Written by an electrical Engineering scholar and experienced author.
Dr. Arie Nakhmani (M.Sc. in Robust Control, Ph.D. in Computer Vision), is Associate Professor of Electrical and Computer Engineering, Associate Scientist in the Comprehensive Cancer Center, and director of ANRY lab at the University of Alabama at Birmingham. He is the author of over 50 peer-reviewed research articles and book chapters on robust control, machine learning, signal and image analysis.
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