Nonlinear Industrial Control Systems Optimal Polynomial Systems and
Nonlinear Industrial Control Systems presents a range of mostly optimisation-based methods for severely nonlinear systems; it discusses feedforward and feedback control and tracking control systems design. The plant models and design algorithms are p
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Nonlinear Industrial Control Systems Optimal Polynomial Systems and State-Space Approach
Nonlinear Industrial Control Systems
Michael J. Grimble Paweł Majecki •
Nonlinear Industrial Control Systems Optimal Polynomial Systems and State-Space Approach
123
Michael J. Grimble Department of Electronic and Electrical Engineering University of Strathclyde Glasgow, UK
Paweł Majecki Industrial Systems and Control Limited Glasgow, UK
ISBN 978-1-4471-7455-4 ISBN 978-1-4471-7457-8 https://doi.org/10.1007/978-1-4471-7457-8
(eBook)
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The fool doth think he is wise, but the wise man knows himself to be a fool. —William Shakespeare, (As You Like It, Act 5, Scene 1)
To my lovely family including wife Wendy, children Claire and Andrew, and grandchildren Callum and Emma. Michael J. Grimble To my Parents—Moim Rodzicom. And, of course, to Anka, for her patience during all these long hours (and years) spent on ‘the Book’. Paweł Majecki
Foreword
Control theory and its applications have made considerable progress by using model-based analysis of process dynamics to understand how controller design needs to meet the demands and compensate for the effects of the dynamical behaviour of that process on controller performance
