Deterministic Observation Theory and Applications

by Jean-Paul Gauthier, Ivan Kupka

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:	9780521183864
Publisher:	Cambridge University Press
Publication date:	02/17/2011
Pages:	238
Product dimensions:	5.90(w) x 8.90(h) x 0.80(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.

Editorial Reviews

Observation problems involve reconstructing the full information about a dynamical process on the basis of partial observed data. Written by two French mathematicians, this text presents a general theory as well as a constructive methodology to solve this type of problem. This deterministic observation theory has practical applications in the fields of automatic control, mathematics, chemical engineering, and physics. Annotation c. Book News, Inc., Portland, OR (booknews.com)

Review of the hardback: '… an extraordinary book, establishing a new paradigm in the observability theory of nonlinear systems.' Zentrallblatt MATH

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