Model Predictive Control Hardback
by Baocang (Chongqing University of Posts and Telecommunications, China) Ding, Yuanqing (Chongqing University of Posts and Telecommunications, China) Yang
Part of the IEEE Press series
Hardback
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 book’s 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.
Information
-
Pre-Order
- Format:Hardback
- Pages:304 pages
- Publisher:John Wiley & Sons Inc
- Publication Date:02/05/2024
- Category:
- ISBN:9781119471394
Information
-
Pre-Order
- Format:Hardback
- Pages:304 pages
- Publisher:John Wiley & Sons Inc
- Publication Date:02/05/2024
- Category:
- ISBN:9781119471394
