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Optimal Iterative Learning Control: A Practitioner's Guide by Bing Chu Hardcover
US $231.52
ApproximatelyS$ 296.99
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Brand New
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Located in: Fairfield, Ohio, United States
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eBay item number:388762826627
Item specifics
- Condition
- Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
- ISBN-13
- 9783031802355
- Type
- NA
- Publication Name
- NA
- ISBN
- 9783031802355
About this product
Product Identifiers
Publisher
Springer
ISBN-10
3031802357
ISBN-13
9783031802355
eBay Product ID (ePID)
26072746433
Product Key Features
Book Title
Optimal Iterative Learning Control : a Practitioner's Guide
Number of Pages
Xx, 356 Pages
Language
English
Topic
System Theory, Electrical, Optimization
Publication Year
2025
Illustrator
Yes
Genre
Mathematics, Technology & Engineering, Science
Book Series
Advances in Industrial Control Ser.
Format
Hardcover
Dimensions
Item Length
9.3 in
Item Width
6.1 in
Additional Product Features
Dewey Edition
23
Number of Volumes
1 vol.
Dewey Decimal
658.4038
Table Of Content
1. Introduction to Iterative Learning Control.- 2. Brief Review of Systems Control Theory.- 3. Parameter Optimal Iterative Learning Control.- 4. Inverse Based Iterative Learning Control.- 5. Gradient Based Iterative Learning Control.- 6. Norm Optimal Iterative Learning Control.- 7. Optimal Iterative Learning Control: Constraint Handling.- 8. Accelerating the Convergence.- 9. A Case Study on a Robotic Testing Platform.- 10. Summary and Future Research Directions.
Synopsis
This book introduces an optimal iterative learning control (ILC) design framework from the end user's point of view. Its central theme is the understanding of model dynamics, the construction of a procedure for systematic input updating and their contribution to successful algorithm design. The authors discuss the many applications of ILC in industrial systems, applications such as robotics and mechanical testing. The text covers a number of optimal ILC design methods, including gradient-based and norm-optimal ILC. Their convergence properties are described and detailed design guidelines, including performance-improvement mechanisms, are presented. Readers are given a clear picture of the nature of ILC and the benefits of the optimization-based approach from the conceptual and mathematical foundations of the problem of algorithm construction to the impact of available parameters in making acceleration of algorithmic convergence possible. Three case studies on robotic platforms, an electro-mechanical machine, and robot-assisted stroke rehabilitation are included to demonstrate the application of these methods in the real-world. With its emphasis on basic concepts, detailed design guidelines and examples of benefits, Optimal Iterative Learning Control will be of value to practising engineers and academic researchers alike.
LC Classification Number
TJ212-225
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Seller feedback (1,058,098)
- Automatyczna opinia eBay- Feedback left by buyer.Past monthZamówienie zostało zrealizowane – ze śledzeniem i na czas
- e***n (352)- Feedback left by buyer.Past monthVerified purchaseEverything was perfect about this item
- Automatyczna opinia eBay- Feedback left by buyer.Past monthZamówienie zostało zrealizowane – ze śledzeniem i na czas