Digital Control Systems Second Edition

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An introductory text, this book covers the theory and applications of digital control systems, assuming a knowledge of matrix algebra, differential equations. In recent years significant progress has been made in the analysis and design of discrete-data and digital control systems. These systems have gained popularity and importance in industry due in part to the advances made in digital computers for controls and, more recently, in microprocessors and digital signal processors. An introductory text for a senior or graduate course on digital control systems, this text covers the theory and applications of digital control systems,assuming a knowledge of matrix algebra, differential equations, Laplace transforms and the basic principles of continuous-data control systems. Many subjects are new to the Second Edition, most importantly design topics such as disturbance rejection, sensitivity considerations, and zero-ripple deadbeat-response design. In addition, Kuo includes separate discussions on controllability, observability, and stability, expands the discussions of sampling period selection, emphasizes computer-aided solutions, and provides a new and simpler approach to the Nyquist criterion of stability. Each chapter begins with keywords and topics that provide students with an overview of the key topics to be covered. Illustrative examples, many derived from practical systems, are included throughout the text. Numerous exercise problems end each chapter. Key Features Contains updated information on microprocessor and DSP (Digital Systems Programs) controls,with particular attention paid to design. Describes, in a clear explanation of the sampling process, the mathematical treatment and operation of various types of sampling. Offers a contemporary treatment of the Nyquist criterion--presenting a simpler application than the conventional method. Digital Control Systems Programs software for IBM computers is available through the author to compliment the text.

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Benjamin C. Kuo Benjamin C. Kuo, University of Illinois at Urbana-Champaign (Emeritus) Table of Contents Introduction Signal Conversion and Pocessing The z-Transform Transfer Functions, Block Diagrams and Signal Flow Graphs The State Variable Technique Controllability, Observability and Stability 7 Time-Domain and z-Domain Analysis Frequency-Domain Analysis Digital Simulation and Digital Redesign Design of Discrete-Data Systems Micro-processor and DSP Controls Appendix A Fixed-Point and Floating-Point Numbers Appendix B Mathematical Modeling of Sampling by Convolution Integral Appendix C Table of Laplace Transforms, z-Transforms and Modified z-Transforms Appendix D General Gain Formula for Signal Flow Graphs Appendix E Rouths Tabulation for Stability Analysis Appendix F Galil DMC-100 Motion Controller Board Index