Discrete-Time Control Problems Using MATLAB

Using the power of MATLAB and its Control System Toolbox, this book is the ideal supplement for a digital control systems course. Students are able to use a digital computer to rapidly work a wide range of numerical problems and gain deeper insight in control design. The book is built around illustrative examples that demonstrate the steps involved in the analysis and design process. The examples are followed by a variety of problems that span the spectrum from follow-up what-if problems, to simple textbook-type reinforcement problems, to open-ended exploratory problems, and to realistic comprehensive problems. This book is part of the Bookware Companion Series.

Using the power of MATLAB? and its Control System Toolbox, this book is ideal for digital control systems. Readers are able to use a digital computer to rapidly work a wide range of numerical problems and gain deeper insight in control design. The book is built around illustrative examples that demonstrate the steps involved in the analysis and design process. The examples are followed by a variety of problems that span the spectrum from follow-up what-if problems, to simple reinforcement problems, to open-ended exploratory problems, and to realistic comprehensive problems. This book is part of the Bookware Companion Series.

Booknews

A supplemental textbook for students taking a senior-level course on digital control systems who are familiar with the feedback control design of continuous-time systems. Example MATLAB scripts are provided for transfer-function and state-space models, sampling, performance measures in the time domain and frequency domain, and discrete-time control design. Annotation c. Book News, Inc., Portland, OR

Joe H. Chow is a Professor at Rensselaer Polytechnic Institute and a Registered Professional Engineer, State of New York, since 1983. In 1979, he won the Donald P. Eckman award from the American Automatic Control Council for outstanding contributions to control engineering by a young engineer. He has served as the Associate Editor for Automatica and IEEE Transactions on Automatic Control. Dr. Chow has also participated on the NSF Initiation Grant Review Committee, NSF Presidential Young Investigator Grant Review Committee, and the NSF Small Business Innovative Research Grant Review Committee.

Nicolas W. Chbat received his Ph.D., focusing on a soft computing application to learning control, from Columbia University, New York City, in 1996. Since then, he has been with General Electric's Corporate RandD Center, working on diagnostics, modeling, and control, using knowledge- and rule-based as well as classical methods for GE products.