IEEE Press Model Predictive Control, (Hardcover)
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Model Predictive Control is uniquely suited to rapid incorporation in an industrial workplace.
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- 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.
| Book format | Hardcover |
| Fiction/nonfiction | Non-Fiction |
| Genre | Textbooks |
| Publication date | March, 2024 |
| Pages | 304 |
| Reading level | Professional & Vocational |
| Subgenre | System Theory |
| Series title | IEEE Press |
| Edition | 1 |
| Publisher | John Wiley & Sons |
| Original languages | English |
| Language | English |
| Edu focus | Technology |
| Educational level | Higher |
| Is collectible | N |
| Binding type | Case Binding |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 6.69 x 0.69 x 9.61 in (17 x 1.8 x 24.4 cm) |
| Assembled product weight | 1.49 lb (680 grams) |
| Bisac subject heading | Science |
Who Should Buy?
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Academic Researchers
Ideal for those studying advanced control systems and seeking in-depth theoretical and practical insights into predictive control.
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Control Engineers
Beneficial for professionals involved in designing and implementing model predictive control systems in various engineering applications.
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Graduate Students
Useful resource for graduate students pursuing studies in automation, control theory, and related fields requiring sophisticated methodologies.
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Beginners
Not suitable for newcomers to control theory, as it demands prior knowledge of concepts and terminology in the field.
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Baocang Ding All Books Editorial Review
IEEE Press Model Predictive Control is a comprehensive hardcover textbook published by John Wiley & Sons, aimed at professionals and vocational learners interested in system theory. With 304 pages of in-depth content, this first edition published in March 2024 covers vital aspects of model predictive control, making it suitable for higher educational levels. The book's format and language are tailored for those engaged in technology-focused studies, ensuring accessibility and understanding in the field. Its case binding adds durability, perfect for frequent use in academic settings, and is designed to meet the needs of the technical audience.
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Pros
- Durable hardcover format ideal for study
- In-depth coverage of system theory
- Published by a reputable publisher
- Suitable for professional and vocational readers
- Comprehensive educational material
Cons
- Less accessible for casual readers
Product Price History
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Features & Benefits
- Combines foundational MPC theories with practical industrial applications.
- Ideal for industrial control engineers and researchers.
- Offers systematic overviews rarely found in other resources.
- Written by an author with decades of teaching and industry experience.
- Two-part organization balances theory with practical applications.
- Addresses topics driven by real industrial demands.
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