Begins with a review of digital control systems and their design and basic mathematical concepts including difference equations, the z-transform, and state-variable methods. Then applies the fundamentals of digital signal processors to such control systems, describing such state-space techniques as pole placement, state estimation, and optimal linear quadratic regulation. Also considers advanced topics, among them chaos in nonlinear control systems and fuzzy logic control. For practicing engineers, graduates, and advanced undergraduates with some background in linear systems theory and linear algebra and a familiarity with the CAE, MATLAB, and MATRIX software packages. Has been used in courses. Annotation c. by Book News, Inc., Portland, Or.

About the Author

Farzad Nekoogar is Lecturer, The University of California at Berkeley-Extension, and Senior CAE Engineer at Diasonics Corporation, Milpitas, California. He has taught Digital Control Using Digital Signal Processing to practicing engineers and teaches courses throughout the electronics industry.

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