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Multivariable predictive control : applications in industry

โœ Scribed by Lahiri, Sandip Kumar


Year
2017
Tongue
English
Leaves
288
Edition
First edition
Category
Library

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โœฆ Synopsis


A guide to all practical aspects of building, implementing, managing, and maintaining MPC applications in industrial plants Multivariable Predictive Control: Applications in Industry provides engineers with a thorough understanding of all practical aspects of multivariate predictive control (MPC) applications, as well as expert guidance on how to derive maximum benefit from those systems. Short on theory and long on ๏ฟฝRead more...


Abstract: A guide to all practical aspects of building, implementing, managing, and maintaining MPC applications in industrial plants Multivariable Predictive Control: Applications in Industry provides engineers with a thorough understanding of all practical aspects of multivariate predictive control (MPC) applications, as well as expert guidance on how to derive maximum benefit from those systems. Short on theory and long on step-by-step information, it covers everything plant process engineers and control engineers need to know about building, deploying, and managing MPC applications in their companies. MPC has more than proven itself to be one the most important tools for optimising plant operations on an ongoing basis. Companies, worldwide, across a range of industries are successfully using MPC systems to optimise materials and utility consumption, reduce waste, minimise pollution, and maximise production

โœฆ Subjects


Multivariate analysis / fast / (OCoLC)fst01029105.;Predictive control / fast / (OCoLC)fst01075040.;TECHNOLOGY et ENGINEERING / Engineering (General) / bisacsh.


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