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Recent Advances in Learning and Control

  • Conference proceedings
  • © 2008

Overview

Editors:
  1. Vincent D. Blondel

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

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  2. Stephen P. Boyd

    1. Information Systems Laboratory Department of Electrical Engineering, Stanford University, Stanford, USA

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  3. Hidenori Kimura

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

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  • 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
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  2. Statistical Learning Theory: A Pack-based Strategy for Uncertain Feasibility and Optimization Problems

    • Teodoro Alamo, Roberto Tempo, Eduardo F.
    Pages 1-14

  3. UAV Formation Control: Theory and Application

    • Brian D. O. Anderson, Bariş Fidan, Changbin Yu, Dirk Walle
    Pages 15-33

  4. Electrical and Mechanical Passive Network Synthesis

    • Michael Z. Q. Chen, Malcolm C. Smith
    Pages 35-50

  5. Output Synchronization of Nonlinear Systems with Relative Degree One

    • Nikhil Chopra, Mark W. Spong
    Pages 51-64

  6. On the Computation of Optimal Transport Maps Using Gradient Flows and Multiresolution Analysis

    • Ayelet Dominitz, Sigurd Angenent, Allen Tannenbaum
    Pages 65-78

  7. Realistic Anchor Positioning for Sensor Localization

    • Ban§ Fidan, Soura Dasgupta, Brian D. O. Anderson
    Pages 79-94

  8. Graph Implementations for Nonsmooth Convex Programs

    • Michael C. Grant, Stephen P. Boyd
    Pages 95-110

  9. When Is a Linear Continuous-time System Easy or Hard to Control in Practice?

    • Shinji Hara, Masaaki Kanno
    Pages 111-124

  10. Metrics and Morphing of Power Spectra

    • Xianhua Jiang, Shahrouz Takyar, Tryphon T. Georgiou
    Pages 125-135

  11. A New Type of Neural Computation

    • Hidenori Kimura, Shingo Shimoda
    Pages 137-147

  12. Getting Mobile Autonomous Robots to Form a Prescribed Geometric Arrangement

    • Laura Krick, Mireille Broucke, Bruce Francis
    Pages 149-159

  13. Convex Optimization in Infinite Dimensional Spaces

    • Sanjoy K. Mitter
    Pages 161-179

  14. The Servomechanism Problem for SISO Positive LTI Systems

    • Bartek Roszak, Edward Davison
    Pages 181-193

  15. Passivity-based Stability of Interconnection Structures

    • Eduardo D. Sontag, Murat Arcak
    Pages 195-204

  16. Identification of Linear Continuous-time Systems Based on Iterative Learning Control

    • Toshiharu Sugie
    Pages 205-218

  17. A Pontryagin Maximum Principle for Systems of Flows

    • Héctor J. Sussmann
    Pages 219-232

  18. Safe Operation and Control of Diesel Particulate Filters Using Level Set Methods

    • Stuart Swift, Keith Glover, Nick Collings
    Pages 233-247

  19. Robust Control of Smart Material-based Actuators

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

  20. Behaviors Described by Rational Symbols and the Parametrization of the Stabilizing Controllers

    • Jan C. Willems, Yutaka Yamamoto
    Pages 263-277
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Keywords

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

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