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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
The design of advanced control algorithms has largely preoccupied the control practitioners efforts. The rationale has been that systems which are difficult to control need advanced optimal, non-linear, adaptive or like control algorithms for better regulation. Although there are a variety of advanced control design techniques, few techniques exist for computing objective measures of control loop performance from routine operating industrial process data. The purpose of this book is to expose the reader to the most recent techniques for univariate and multivariate controller performance assessment. Specifically, this text ponders questions such as the following: Is your controller healthy? Is it doing its job well? How can one obtain a non-invasive or a model-free assessment of controller performance from routing closed-loop data? The theoretical results are supported by simulation, experimental (in laboratory) and industrial evaluations.
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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
The design of advanced control algorithms has largely preoccupied the control practitioners efforts. The rationale has been that systems which are difficult to control need advanced optimal, non-linear, adaptive or like control algorithms for better regulation. Although there are a variety of advanced control design techniques, few techniques exist for computing objective measures of control loop performance from routine operating industrial process data. The purpose of this book is to expose the reader to the most recent techniques for univariate and multivariate controller performance assessment. Specifically, this text ponders questions such as the following: Is your controller healthy? Is it doing its job well? How can one obtain a non-invasive or a model-free assessment of controller performance from routing closed-loop data? The theoretical results are supported by simulation, experimental (in laboratory) and industrial evaluations.