Multivariable Predictive Control

Applications in Industry

Nonfiction, Science & Nature, Technology, Engineering, Chemical & Biochemical
Cover of the book Multivariable Predictive Control by Sandip K. Lahiri, Wiley
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Sandip K. Lahiri ISBN: 9781119243595
Publisher: Wiley Publication: August 30, 2017
Imprint: Wiley Language: English
Author: Sandip K. Lahiri
ISBN: 9781119243595
Publisher: Wiley
Publication: August 30, 2017
Imprint: Wiley
Language: English

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. Unfortunately, due in part to the lack of practical references, plant engineers are often at a loss as to how to manage and maintain MPC systems once the applications have been installed and the consultants and vendors’ reps have left the plant. Written by a chemical engineer with two decades of experience in operations and technical services at petrochemical companies, this book fills that regrettable gap in the professional literature.

  • Provides a cost-benefit analysis of typical MPC projects and reviews commercially available MPC software packages
  • Details software implementation steps, as well as techniques for successfully evaluating and monitoring software performance once it has been installed
  • Features case studies and real-world examples from industries, worldwide, illustrating the advantages and common pitfalls of MPC systems
  • Describes MPC application failures in an array of companies, exposes the root causes of those failures, and offers proven safeguards and corrective measures for avoiding similar failures

Multivariable Predictive Control: Applications in Industry is an indispensable resource for plant process engineers and control engineers working in chemical plants, petrochemical companies, and oil refineries in which MPC systems already are operational, or where MPC implementations are being considering.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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. Unfortunately, due in part to the lack of practical references, plant engineers are often at a loss as to how to manage and maintain MPC systems once the applications have been installed and the consultants and vendors’ reps have left the plant. Written by a chemical engineer with two decades of experience in operations and technical services at petrochemical companies, this book fills that regrettable gap in the professional literature.

Multivariable Predictive Control: Applications in Industry is an indispensable resource for plant process engineers and control engineers working in chemical plants, petrochemical companies, and oil refineries in which MPC systems already are operational, or where MPC implementations are being considering.

More books from Wiley

Cover of the book Handbook of Food Process Design, 2 Volume Set by Sandip K. Lahiri
Cover of the book Statistics for Terrified Biologists by Sandip K. Lahiri
Cover of the book Precarious Lives by Sandip K. Lahiri
Cover of the book Lean for Systems Engineering with Lean Enablers for Systems Engineering by Sandip K. Lahiri
Cover of the book Essential Guide to Reading Biomedical Papers by Sandip K. Lahiri
Cover of the book The Feline Patient by Sandip K. Lahiri
Cover of the book Essentials of Supply Chain Management by Sandip K. Lahiri
Cover of the book Probabilities by Sandip K. Lahiri
Cover of the book Toward a Rational Society by Sandip K. Lahiri
Cover of the book Thermal Ionization Mass Spectrometry (TIMS) by Sandip K. Lahiri
Cover of the book Modern Biopharmaceuticals by Sandip K. Lahiri
Cover of the book The Barefoot Investor by Sandip K. Lahiri
Cover of the book Globalization by Sandip K. Lahiri
Cover of the book Diploma in Dental Nursing, Level 3 by Sandip K. Lahiri
Cover of the book The Body in Society by Sandip K. Lahiri
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy