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Springer Control Performance Assessment: Theoretical Analyses and Industrial Practice: 245 (Studies in Systems, Decision and Control, 245)

Name: Control Performance Assessment: Theoretical Analyses and Industrial Practice: 245 (Studies in Systems, Decision and Control, 245)
Brand: Springer

AI & Machine Learning

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This book presents a comprehensive review of currently available Control Performance Assessment methods. It covers a broad range of classical and modern methods, with a main focus on assessment practice, and is intended to help practitioners learn and properly perform control assessment in the industrial reality. Further, it offers an educational guide for control engineers, who are currently in high demand in the industry. The book consists of three main parts. Firstly, a comprehensive review of available approaches is presented and discussed. The classical canon methods are extended with a discussion of nonlinear and complex alternative measures using non-Gaussian statistics, persistence and fractional calculations. Secondly, the methods’ applicability aspects are visualized with the aid of computer simulations, covering the most popular control philosophies used in the process industry. Lastly, a critical review of the methods discussed, on the basis of real-world industrial examples, rounds out the coverage.

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Brand: Springer
Format: paperback
ASIN: 3030235955
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 11 September 2020
Listed Since: 26 July 2020

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Springer Control Performance Assessment: Theoretical Analyses and Industrial Practice: 245 (Studies in Systems, Decision and Control, 245)

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