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Table of contents

  1. Front Matter
  2. Michael Schulz
    Pages 1-15
  3. Michael Schulz
    Pages 17-60
  4. Michael Schulz
    Pages 61-92
  5. Michael Schulz
    Pages 93-121
  6. Michael Schulz
    Pages 123-148
  7. Michael Schulz
    Pages 149-191
  8. Michael Schulz
    Pages 193-212
  9. Michael Schulz
    Pages 213-264
  10. Michael Schulz
    Pages 265-277
  11. Michael Schulz
    Pages 279-293
  12. Back Matter

About this book

Introduction

This book covers systematically and in a simple language the mathematical and physical foundations of controlling deterministic and stochastic evolutionary processes in systems  with a high degree of complexity. Strong emphasis is placed on concepts, methods and techniques for modelling, assessment and the solution or estimation of control problems in an attempt to understand the large variability of these problems in several branches of physics, chemistry and biology as well as in technology and economics. The main focus of the book is on a clear physical and mathematical understanding of the dynamics and kinetics behind several kinds of control problems and their relation to self-organizing principles in complex systems. The book is a modern introduction and a helpful tool for researchers, engineers as well as post-docs and graduate students interested in an application oriented control theory and related topics.

Keywords

Control theory Deterministic Systems Memory Effects Noise Non-equilibrium dynamics Optimal control Probability theory and stochastic processes Statistical physics of complex systems Variation principles statistical physics

Bibliographic information

  • DOI https://doi.org/10.1007/11374343
  • Copyright Information Springer-Verlag Berlin/Heidelberg 2006
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Physics and Astronomy
  • Print ISBN 978-3-540-29514-3
  • Online ISBN 978-3-540-32417-1
  • Series Print ISSN 0081-3869
  • Series Online ISSN 1615-0430
  • Buy this book on publisher's site
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