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Presenting a unique control design approach for process engineering systems, this state-of-the-art book provides a systematic quantitative treatment of linear control design for multivariable systems and shows how it can be applied in paper malting, heat exchange systems, nuclear reactors, and various automative systems. The text develops simple no-weight, analytical, and quantitative optimal design procedures, placing equal emphasis upon theoretical and application aspects of the subject. It provides a rigorous treatment without extensively using advanced mathematics and includes numerous worked examples and exercises of varying difficulty.
This work explains how to solve industrial system problems using a novel control system design theory. This easy-to-use theory does not require designers to choose a weighting function and enables the controllers to be designed or tuned for quantitative engineering performance indices such as overshoot. Equally emphasizing theoretical and application aspects of the subject, the book bridges classical control theory and the newly arriving generation of robust control theory. It includes numerous exercises and examples drawn from aeronautical, mechanical, and chemical engineering.
This work explains how to solve industrial system problems using a novel control system design theory. This easy-to-use theory does not require designers to choose a weighting function and enables the controllers to be designed or tuned for quantitative engineering performance indices such as overshoot. Equally emphasizing theoretical and application aspects of the subject, the book bridges classical control theory and the newly arriving generation of robust control theory. It includes numerous exercises and examples drawn from aeronautical, mechanical, and chemical engineering.