Overview
- Develops more effective and efficient tools and techniques for dealing with complex processes and systems
- Presents a wide and comprehensive range of issues and problems in Automatic Control, Robotics, and Information Processing, from both theoretical and applied perspectives
- Includes contributions that concern the development of methods and algorithms to determine best practices regarding broadly perceived decisions or controls
- Features many papers that focus on how to automate a specific process or complex system, illustrated with sample applications
Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 296)
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Table of contents (27 chapters)
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Mathematical Modeling
Editors and Affiliations
Bibliographic Information
Book Title: Automatic Control, Robotics, and Information Processing
Editors: Piotr Kulczycki, Józef Korbicz, Janusz Kacprzyk
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-3-030-48587-0
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-48586-3Published: 04 September 2020
Softcover ISBN: 978-3-030-48589-4Published: 04 September 2021
eBook ISBN: 978-3-030-48587-0Published: 03 September 2020
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: XIII, 843
Number of Illustrations: 398 b/w illustrations, 3 illustrations in colour
Topics: Control and Systems Theory, Computational Intelligence