Spatio-Temporal Learning and Monitoring for Complex Dynamic Processes with Irregular Data
Book Details
Format
Paperback / Softback
ISBN-10
044333675X
ISBN-13
9780443336751
Publisher
Elsevier Science Publishing Co Inc
Imprint
Academic Press Inc
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Jul 1st, 2025
Print length
258 Pages
Product Classification:
Mechanical engineeringProduction engineering
Ksh 29,350.00
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Spatio-Temporal Learning Using Irregular Data for Complex Dynamic Processes introduces learning, modeling, and monitoring methods for highly complex dynamic processes with irregular data. Two classes of robust modeling methods are highlighted, including low-rank characteristic of matrices and heavy-tailed characteristic of distributions. In this class, the missing data, ambient noise, and outlier problems are solved using low-rank matrix complement for monitoring model development. Secondly, the Laplace distribution is explored, which is adopted to measure the process uncertainty to develop robust monitoring models. The book not only discusses the complex models but also their real-world applications in industry.
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