Predictive Control: Fundamentals and Developments
暫譯: 預測控制:基本原理與發展

XI, Yugeng, Li, Dewei

  • 出版商: Wiley
  • 出版日期: 2019-11-12
  • 售價: $4,950
  • 貴賓價: 9.5$4,703
  • 語言: 英文
  • 頁數: 440
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1119119545
  • ISBN-13: 9781119119548
  • 相關分類: Machine Learning
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

This book is a comprehensive introduction to model predictive control (MPC), including its basic principles and algorithms, system analysis and design methods, strategy developments and practical applications. The main contents of the book include an overview of the development trajectory and basic principles of MPC, typical MPC algorithms, quantitative analysis of classical MPC systems, design and tuning methods for MPC parameters, constrained multivariable MPC algorithms and online optimization decomposition methods. Readers will then progress to more advanced topics such as nonlinear MPC and its related algorithms, the diversification development of MPC with respect to control structures and optimization strategies, and robust MPC. Finally, applications of MPC and its generalization to optimization-based dynamic problems other than control will be discussed.

  • Systematically introduces fundamental concepts, basic algorithms, and applications of MPC
  • Includes a comprehensive overview of MPC development, emphasizing recent advances and modern approaches
  • Features numerous MPC models and structures, based on rigorous research
  • Based on the best-selling Chinese edition, which is a key text in China

Predictive Control: Fundamentals and Developments is written for advanced undergraduate and graduate students and researchers specializing in control technologies. It is also a useful reference for industry professionals, engineers, and technicians specializing in advanced optimization control technology.

商品描述(中文翻譯)

這本書是對模型預測控制(Model Predictive Control, MPC)的全面介紹,包括其基本原則和演算法、系統分析與設計方法、策略發展及實際應用。書中的主要內容包括MPC的發展軌跡和基本原則概述、典型的MPC演算法、經典MPC系統的定量分析、MPC參數的設計與調整方法、受限多變量MPC演算法及在線優化分解方法。讀者接著將進入更高級的主題,如非線性MPC及其相關演算法、MPC在控制結構和優化策略方面的多樣化發展,以及穩健MPC。最後,將討論MPC的應用及其在控制以外的基於優化的動態問題的推廣。

- 系統性地介紹MPC的基本概念、基本演算法和應用
- 包含MPC發展的全面概述,強調最近的進展和現代方法
- 以嚴謹的研究為基礎,特別介紹眾多MPC模型和結構
- 基於在中國的暢銷中文版本,該版本是中國的關鍵教材

《預測控制:基本原理與發展》是為專注於控制技術的高年級本科生、研究生和研究人員所撰寫的。對於專注於先進優化控制技術的行業專業人士、工程師和技術人員來說,這也是一本有用的參考書。

作者簡介

Yugeng Xi is a Chair Professor of Shanghai Jiao Tong University (SJTU). He received Dr.-Ing. degree on automatic control from Technical University Munich, Germany in 1984. Since then he has been with the Department of Automation, SJTU. His research interests include predictive control theory and applications, control and optimization of large scale complex systems. He has been working in the area of predictive control for more than 35 years.

Dewei Li is an Associate Professor of Shanghai Jiao Tong University (SJTU). He received PhD. degree on automatic control from SJTU, China in 2009. From 2011, he has been with the Department of Automation, SJTU. His research interests include predictive control theory and applications, the control of robots, intelligent systems, control and optimization of large scale complex systems. He has been working in the area of predictive control for more than 10 years.

作者簡介(中文翻譯)

西耿·希是上海交通大學(SJTU)的講座教授。他於1984年在德國慕尼黑工業大學獲得自動控制的博士工程學位。自那時起,他一直在SJTU的自動化系工作。他的研究興趣包括預測控制理論及其應用、大型複雜系統的控制與優化。他在預測控制領域工作了超過35年。

德偉·李是上海交通大學(SJTU)的副教授。他於2009年在中國上海交通大學獲得自動控制的博士學位。自2011年起,他一直在SJTU的自動化系工作。他的研究興趣包括預測控制理論及其應用、機器人的控制、智能系統、大型複雜系統的控制與優化。他在預測控制領域工作了超過10年。