This text explains how to analyze and design discrete-time (digital) systems and shows how linear algebra and state-space theory are used to design digital control systems. It features a complete chapter on the design of full and reduced-order observers. There is also a review chapter on linear algebra and matrix theory.
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This text focuses on casting real-world continuous-time analog control problems into the discrete-time and digital domain. It is intended for an advanced undergraduate audience and assumes a background in signals and linear systems theory with some exposure to basic linear and matrix algebra. Digital Control includes topics such as eigenstructure assignment, stability and phase margins, state feedback regulators, observers, and tracking systems. The book also includes introductory chapters on the more advanced topics of multivariable control systems and optimal control. The text begins with an overview of linear algebra and matrix theory and proceeds to examine state-space and transfer function models of continuous-time and discrete-time systems. Several examples from electrical, mechanical, and aeronautical engineering give additional insight into issues presented in each chapter. This text emphasizes the application of the theory to real-world problems and, as such, is suitable for practicing engineers, students, or anyone who wants to implement control systems of modest complexity with a computer. A MATLAB toolbox written by the author is freely available to facilitate such projects.
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