Model-Based Control:: Bridging Rigorous Theory and Advanced Technology 2009th Edition

Model-Based Control:: Bridging Rigorous Theory and Advanced Technology 2009th Edition book cover

Model-Based Control:: Bridging Rigorous Theory and Advanced Technology 2009th Edition

Author(s): Paul M.J. van den Hof (Editor), Carsten Scherer (Editor), Peter S.C. Heuberger (Editor)

  • Publisher: Springer
  • Publication Date: 14 Aug. 2009
  • Edition: 2009th
  • Language: English
  • Print length: 254 pages
  • ISBN-10: 1441908943
  • ISBN-13: 9781441908940

Book Description

Model-Based Control will be a collection of state-of-the-art contributions in the field of modelling, identification, robust control and optimization of dynamical systems, with particular attention to the application domains of motion control systems (high-accuracy positioning systems) and large scale industrial process control systems.The book will be directed to academic and industrial people involved in research in systems and control, industrial process control and mechatronics.

Editorial Reviews

From the Back Cover

Model-Based Control: Bridging Rigorous Theory and Advanced Technology contains a collection of contributions written in honor of Professor Okko Bosgra’s sixty-fifth birthday. The book follows his lifelong idea of establishing a unified research agenda that covers a wide cross-section of the model-based control field, ranging from modeling and identification to optimal and robust control. It presents a collection of advances in the aforementioned areas, contributed by a group of leading academics in systems and control. The book’s chapters connect major theoretical developments with practical applications across numerous subject areas, while utilizing clear and well-defined case-studies that help the reader relate theory to practice. Particular attention is given to the application domains of motion control systems, as well as large-scale industrial process control systems.

Model-Based Control is required reading for academic researchers and engineers actively working with process systems or mechatronics who are interested in learning more about model-based control.

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