Description: Model Predictive Control Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Approaches Based on the Extended State Space Model and Extended Non-minimal State Space Model Author(s): Ridong Zhang, Anke Xue, Furong Gao Format: Hardback Publisher: Springer Verlag, Singapore, Singapore Imprint: Springer Verlag, Singapore ISBN-13: 9789811300820, 978-9811300820 Synopsis This monograph introduces the authors' work on model predictive control system design using extended state space and extended non-minimal state space approaches. It systematically describes model predictive control design for chemical processes, including the basic control algorithms, the extension to predictive functional control, constrained control, closed-loop system analysis, model predictive control optimization-based PID control, genetic algorithm optimization-based model predictive control, and industrial applications. Providing important insights, useful methods and practical algorithms that can be used in chemical process control and optimization, it offers a valuable resource for researchers, scientists and engineers in the field of process system engineering and control engineering.
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Location: Aldershot
End Time: 2025-01-12T09:30:26.000Z
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Book Title: Model Predictive Control
Number of Pages: 137 Pages
Publication Name: Model Predictive Control: Approaches Based on the Extended State Space Model and Extended Non-minimal State Space Model
Language: English
Publisher: Springer Verlag, Singapore
Item Height: 235 mm
Subject: Engineering & Technology, Computer Science, Mathematics
Publication Year: 2018
Type: Textbook
Item Weight: 407 g
Subject Area: Mechanical Engineering
Author: Ridong Zhang, Anke Xue, Furong Gao
Item Width: 155 mm
Format: Hardcover
