logo
Product categories

EbookNice.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link.  https://ebooknice.com/page/post?id=faq


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookNice Team

(Ebook) Model-Based Predictive Control: A Practical Approach (Control Series) by J.A. Rossiter ISBN 9780849312915, 0849312914

  • SKU: EBN-1831498
Zoomable Image
$ 32 $ 40 (-20%)

Status:

Available

4.4

34 reviews
Instant download (eBook) Model-Based Predictive Control: A Practical Approach (Control Series) after payment.
Authors:J.A. Rossiter
Pages:344 pages.
Year:2003
Editon:1
Publisher:CRC Press
Language:english
File Size:3.77 MB
Format:pdf
ISBNS:9780849312915, 0849312914
Categories: Ebooks

Product desciption

(Ebook) Model-Based Predictive Control: A Practical Approach (Control Series) by J.A. Rossiter ISBN 9780849312915, 0849312914

Model Predictive Control (MPC) has become a widely used methodology across all engineering disciplines, yet there are few books which study this approach. Until now, no book has addressed in detail all key issues in the field including apriori stability and robust stability results. Engineers and MPC researchers now have a volume that provides a complete overview of the theory and practice of MPC as it relates to process and control engineering.Model-Based Predictive Control, A Practical Approach, analyzes predictive control from its base mathematical foundation, but delivers the subject matter in a readable, intuitive style. The author writes in layman's terms, avoiding jargon and using a style that relies upon personal insight into practical applications.This detailed introduction to predictive control introduces basic MPC concepts and demonstrates how they are applied in the design and control of systems, experiments, and industrial processes. The text outlines how to model, provide robustness, handle constraints, ensure feasibility, and guarantee stability. It also details options in regard to algorithms, models, and complexity vs. performance issues.
*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

Related Products