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  • Conference proceedings
  • © 2008

Recent Advances in Learning and Control

  • 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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Table of contents (19 papers)

  1. Front Matter

    Pages I-XII
  2. UAV Formation Control: Theory and Application

    • Brian D. O. Anderson, Bariş Fidan, Changbin Yu, Dirk Walle
    Pages 15-33
  3. Electrical and Mechanical Passive Network Synthesis

    • Michael Z. Q. Chen, Malcolm C. Smith
    Pages 35-50
  4. On the Computation of Optimal Transport Maps Using Gradient Flows and Multiresolution Analysis

    • Ayelet Dominitz, Sigurd Angenent, Allen Tannenbaum
    Pages 65-78
  5. Realistic Anchor Positioning for Sensor Localization

    • Ban§ Fidan, Soura Dasgupta, Brian D. O. Anderson
    Pages 79-94
  6. Graph Implementations for Nonsmooth Convex Programs

    • Michael C. Grant, Stephen P. Boyd
    Pages 95-110
  7. Metrics and Morphing of Power Spectra

    • Xianhua Jiang, Shahrouz Takyar, Tryphon T. Georgiou
    Pages 125-135
  8. A New Type of Neural Computation

    • Hidenori Kimura, Shingo Shimoda
    Pages 137-147
  9. Getting Mobile Autonomous Robots to Form a Prescribed Geometric Arrangement

    • Laura Krick, Mireille Broucke, Bruce Francis
    Pages 149-159
  10. The Servomechanism Problem for SISO Positive LTI Systems

    • Bartek Roszak, Edward Davison
    Pages 181-193
  11. Passivity-based Stability of Interconnection Structures

    • Eduardo D. Sontag, Murat Arcak
    Pages 195-204
  12. A Pontryagin Maximum Principle for Systems of Flows

    • Héctor J. Sussmann
    Pages 219-232
  13. Safe Operation and Control of Diesel Particulate Filters Using Level Set Methods

    • Stuart Swift, Keith Glover, Nick Collings
    Pages 233-247
  14. Robust Control of Smart Material-based Actuators

    • Sina Valadkhan, Kirsten Morris, Amir Khajepour
    Pages 249-262

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.

Editors and Affiliations

  • Département d’Ingénierie Mathématique, Université catholique de Louvain, Louvain-la-Neuve, Belgium

    Vincent D. Blondel

  • Information Systems Laboratory Department of Electrical Engineering, Stanford University, Stanford, USA

    Stephen P. Boyd

  • Bio-Mimetic Control Research Center, RIKEN (The Institute of Physical and Chemical Research), Nagoya, Japan

    Hidenori Kimura

Bibliographic Information

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access