Description: Model Predictive Control by Baocang Ding, Yuanqing Yang Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description Model Predictive Control Understand the practical side of controlling industrial processes Model Predictive Control (MPC) is a method for controlling a process according to given parameters, derived in many cases from empirical models. It has been widely applied in industrial units to increase revenue and promoting sustainability. Systematic overviews of this subject, however, are rare, and few draw on direct experience in industrial settings. Assuming basic knowledge of the relevant mathematical and algebraic modeling techniques, the books title combines foundational theories of MPC with a thorough sense of its practical applications in an industrial context. The result is a presentation uniquely suited to rapid incorporation in an industrial workplace. Model Predictive Control readers will also find: Two-part organization to balance theory and applications Selection of topics directly driven by industrial demand An author with decades of experience in both teaching and industrial practice This book is ideal for industrial control engineers and researchers looking to understand MPC technology, as well as advanced undergraduate and graduate students studying predictive control and related subjects. Author Biography Baocang Ding, PhD, teaches MPC to both undergraduate and graduate students in the School of Automation, Chongqing University of Posts and Telecommunications, China. His research interests include model predictive control, control of power network, process control, and control software development. Yuanqing Yang, PhD, teaches MPC to both undergraduate and graduate students in the School of Automation, Chongqing University of Posts and Telecommunications, China. His research interests include model predictive control, fuzzy control, networked control, and distributed control systems. Details ISBN 1119471397 ISBN-13 9781119471394 Title Model Predictive Control Author Baocang Ding, Yuanqing Yang Format Hardcover Year 2024 Pages 304 Publisher John Wiley & Sons Inc GE_Item_ID:159073937; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 141.76 USD
Location: Fairfield, Ohio
End Time: 2025-01-17T07:02:45.000Z
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ISBN-13: 9781119471394
Book Title: Model Predictive Control
Number of Pages: 304 Pages
Language: English
Publication Name: Model Predictive Control
Publisher: Wiley & Sons, Incorporated, John
Publication Year: 2024
Item Height: 0.9 in
Subject: Mechanical, System Theory
Item Weight: 24.1 Oz
Type: Textbook
Item Length: 9.6 in
Subject Area: Technology & Engineering, Science
Author: Yuanqing Yang, Baocang Ding
Item Width: 6.7 in
Series: IEEE Press Ser.
Format: Hardcover