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Robust Industrial Control Systems: Optimal Design Approach for Polynomial Systems
Michael J. Grimble
1stPublisher: John Wiley & SonsFormat: Hardcover
“Robust Industrial Control Systems: Optimal Design Approach for Polynomial Systems” presents a comprehensive introduction to the use of frequency domain and polynomial system design techniques for a range of industrial control and signal processing applications. The solution of stochastic and robust optimal control problems is considered, building up from single-input problems and gradually developing the results for multivariable design of the later chapters. In addition to cataloguing many of the results in polynomial systems needed to calculate industrial controllers and filters, basic design procedures are also introduced which enable cost functions and system descriptions to be specified in order to satisfy industrial requirements.Providing a range of solutions to control and signal processing problems, this book:
Robust Industrial Control Systems: Optimal Design Approach for Polynomial Systems is essential reading for professional engineers requiring an introduction to optimal control theory and insights into its use in the design of real industrial processes. Students and researchers in the field will also find it an excellent reference tool.
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