Overview
- Gives the reader a comprehensive overview of the most recent developments in learning and control
- The predictions of future trends by international experts show the reader where research will be targeted in the future
Part of the book series: Lecture Notes in Control and Information Sciences (LNCIS, volume 371)
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About this book
This volume is composed of invited papers on learning and control. The contents form the proceedings of a workshop held in January 2008, in Hyderabad, that honoured the 60th birthday of Doctor Mathukumalli Vidyasagar.
The 14 papers, written by international specialists in the field, cover a variety of interests within the broader field of learning and control. The editors have grouped these into the following 3 categories: learning and computational issues, learing for communication and identification, applications of learning and control.
The diversity of the research presented gives the reader a unique opportunity to explore a comprehensive overview of a field of great interest to control and system theorists.
The reader will benefit from the expert participants’ ideas on the exciting new approaches to control and system theory and their predictions of future directions for the subject that were discussed at the workshop.
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Keywords
Table of contents (19 papers)
Editors and Affiliations
Bibliographic Information
Book Title: Recent Advances in Learning and Control
Editors: Vincent D. Blondel, Stephen P. Boyd, Hidenori Kimura
Series Title: Lecture Notes in Control and Information Sciences
DOI: https://doi.org/10.1007/978-1-84800-155-8
Publisher: Springer London
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag London 2008
Softcover ISBN: 978-1-84800-154-1Published: 11 January 2008
eBook ISBN: 978-1-84800-155-8Published: 03 December 2007
Series ISSN: 0170-8643
Series E-ISSN: 1610-7411
Edition Number: 1
Number of Pages: XII, 282
Number of Illustrations: 83 b/w illustrations
Topics: Control and Systems Theory, Control, Robotics, Mechatronics, Systems Theory, Control, Probability Theory and Stochastic Processes, Communications Engineering, Networks, Biomedical Engineering and Bioengineering