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Deterministic observation theory and applications / Jean-Paul Gauthier, Ivan Kupka.

By: Contributor(s): Material type: TextTextPublication details: Cambridge ; New York : Cambridge University Press, 2001.Description: 1 online resource (x, 226 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 0511016999
  • 9780511016998
  • 9780521805933
  • 0521805937
  • 0511044054
  • 9780511044052
  • 9780511546648
  • 0511546645
  • 1280433477
  • 9781280433474
  • 9786610433476
  • 661043347X
  • 9780521183864
  • 0521183863
Subject(s): Genre/Form: Additional physical formats: Print version:: Deterministic observation theory and applications.DDC classification:
  • 003 21
LOC classification:
  • QA402.3 .G378 2001eb
Online resources:
Contents:
Cover; Half-title; Title; Copyright; Dedication; Contents; Preface; 1 Introduction; Part I Observability and Observers; Part II Dynamic Output Stabilization and Applications; Appendix; Solutions to Part I Exercises; Bibliography; Index of Main Notations; Index.
Summary: This book presents a general theory as well as constructive methodology in order to solve 'observation problems', that is: reconstructing the full information about a dynamical process on the basis of partial observed data. A general methodology to control processes on the basis of the observations is also developed. Illustrative but practical applications in the chemical and petroleum industries are shown. This book is intended for use by scientists in the areas of automatic control, mathematics, chemical engineering, and physics.
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Electronic-Books Electronic-Books OPJGU Sonepat- Campus E-Books EBSCO Available

Includes bibliographical references (pages 217-220) and index.

Cover; Half-title; Title; Copyright; Dedication; Contents; Preface; 1 Introduction; Part I Observability and Observers; Part II Dynamic Output Stabilization and Applications; Appendix; Solutions to Part I Exercises; Bibliography; Index of Main Notations; Index.

This book presents a general theory as well as constructive methodology in order to solve 'observation problems', that is: reconstructing the full information about a dynamical process on the basis of partial observed data. A general methodology to control processes on the basis of the observations is also developed. Illustrative but practical applications in the chemical and petroleum industries are shown. This book is intended for use by scientists in the areas of automatic control, mathematics, chemical engineering, and physics.

Print version record.

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