Deterministic Observation Theory and Applications
This work presents a general theory as well as constructive methodology in order to solve "observation problems," namely, those problems that pertain to 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.
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Deterministic Observation Theory and Applications
This work presents a general theory as well as constructive methodology in order to solve "observation problems," namely, those problems that pertain to 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.
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Deterministic Observation Theory and Applications

Deterministic Observation Theory and Applications

by Jean-Paul Gauthier, Ivan Kupka
Deterministic Observation Theory and Applications

Deterministic Observation Theory and Applications

by Jean-Paul Gauthier, Ivan Kupka

Hardcover

$148.00 
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Overview

This work presents a general theory as well as constructive methodology in order to solve "observation problems," namely, those problems that pertain to 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.

Product Details

ISBN-13: 9780521805933
Publisher: Cambridge University Press
Publication date: 10/08/2001
Pages: 240
Product dimensions: 6.26(w) x 9.33(h) x 0.71(d)

Table of Contents

1. Introduction; Part I. Observability and Observers: 2. Observability concepts; 3. The case dy ≤ du; 4. The case of dy < du; 5. Singular state-output mappings; 6. Observers: the high-gain construction; Part II. Dynamic Output Stabilization and Applications: 7. Dynamic output stabilization; 8. Applications; 9. Appendix; 10. Solutions to the exercises of Part I; Bibliography; Index.
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