Robust Industrial Control Systems - Optimal Design Approach For Polynomial Systems Hardcover

Robust Industrial Control Systems: Optimal Design Approach for Polynomial Systems by Michael J. Grimble is a comprehensive guide that introduces the polynomial systems approach to industrial control and signal processing. This method, grounded in frequency domain techniques, offers a systematic framework for designing robust controllers and filters, particularly for multivariable systems. The book addresses both H₂ and H∞ optimal control problems, providing solutions that are applicable to a wide range of industrial applications, including gas turbines, marine systems, metal processing, flight control, wind turbines, and manufacturing systems. It emphasizes practical design procedures, the analysis of multi-degree-of-freedom controllers, and the development of restricted structure controllers that are straightforward to implement. Additionally, the text explores time-varying control and signal processing challenges, as well as the control of nonlinear processes using multiple model concepts and new optimal control solutions. With its focus on real-world applications and robust design methodologies, this book serves as an essential resource for engineers and researchers in the field of industrial control systems.