Multivariable Predictive Control: Applications in Industry
暫譯: 多變量預測控制:工業應用
Sandip K. Lahiri
- 出版商: Wiley
- 出版日期: 2017-10-23
- 售價: $5,490
- 貴賓價: 9.5 折 $5,216
- 語言: 英文
- 頁數: 304
- 裝訂: Hardcover
- ISBN: 1119243602
- ISBN-13: 9781119243601
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相關分類:
Machine Learning
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相關主題
商品描述
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.
商品描述(中文翻譯)
工業廠房中建構、實施、管理及維護多變量預測控制應用的實務指南
多變量預測控制:工業應用 為工程師提供了對多變量預測控制 (MPC) 應用的所有實務面向的深入理解,以及如何從這些系統中獲取最大效益的專家指導。本書理論簡短,步驟詳盡,涵蓋了廠房過程工程師和控制工程師在其公司中建構、部署和管理 MPC 應用所需了解的所有內容。
MPC 已經充分證明自己是持續優化廠房運作的重要工具之一。全球各行各業的公司都成功地使用 MPC 系統來優化材料和公用事業的消耗、減少廢物、最小化污染並最大化生產。不幸的是,由於缺乏實務參考,廠房工程師在應用安裝後,顧問和供應商代表離開廠房後,往往對如何管理和維護 MPC 系統感到困惑。本書由一位在石化公司擁有二十年運營和技術服務經驗的化學工程師撰寫,填補了專業文獻中的這一遺憾空白。
- 提供典型 MPC 專案的成本效益分析,並回顧市面上可用的 MPC 軟體套件
- 詳細說明軟體實施步驟,以及成功評估和監控已安裝軟體性能的技術
- 展示來自全球各行業的案例研究和實際範例,說明 MPC 系統的優勢和常見陷阱
- 描述多家公司中 MPC 應用失敗的情況,揭示這些失敗的根本原因,並提供經過驗證的防範措施和糾正措施,以避免類似失敗
多變量預測控制:工業應用 是化工廠、石化公司和石油煉油廠中已經運行 MPC 系統或正在考慮實施 MPC 的廠房過程工程師和控制工程師不可或缺的資源。