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Stochastic Systems: The Mathematics of Filtering and Identification and Applications: Proceedings of the NATO Advanced Study Institute held at Les Arcs, Savoie, France, June 22 – July 5, 1980 PDF

654 Pages·1981·38.009 MB·English
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Preview Stochastic Systems: The Mathematics of Filtering and Identification and Applications: Proceedings of the NATO Advanced Study Institute held at Les Arcs, Savoie, France, June 22 – July 5, 1980

Stochastic Systems: The Mathematics of Filtering and Identification and Applications NATO ADVANCED STUDY INSTITUTES SERIES Proceedings of the Advanced Study Institute Programme, which aims at the dissemination ofa dvanced knowledge and the formation of contacts among scientists from different countries The series is published by an international board of publishers in conjunction with NATO Scientific Affairs Division A Life Sciences Plenum Publishing Corporation B Physics London and New York C Mathematical and D. Reidel Publishing Company Physical Sciences Dordrecht, Boston and London D Behavioural and Sijthoff & Noordhoff International Social Sciences Publishers E Applied Sciences Alphen aan den Rijn and Germantown U.S.A. Series C - Mathematical and Physical Sciences Volume 78 - Stochastic Systems: The Mathematics of Filtering and Identification and Applications Stochastic Systems: The Mathematics of Filtering and Identification and Applications Proceedings of the NATO Advanced Study Institute held at Les Arcs, Savoie, France, June 22 -July 5,1980 edited by MICHIEL HAZEWINKEL Erasmus Universiteit, Rotterdam, The Netherlands and JAN C. WILLEMS Rijksuniversiteit, Groningen, The Netherlands D. Reidel Publishing Company Dordrecht: Holland / Boston: U.S.A. / London: England Published in cooperation with NATO Scientific Affairs Division Library of Congress Cataloging in Publication Data NATO Advanced Study Institute (1980: Savoie, France) Stochastic systems: The mathematics of filtering and identification and applications. (NATO advanced study institutes series. Series C, Mathematical and physical sciences; v. 78) Includes index. 1. Stochastic systems-Congresses. 2. Filters (Mathematics) Congresses. 3. System identification-Congresses. 1. Hazewinke1, Michie!. II. Willems, Jan C. III. North Atlantic Treaty Organization. Division of Scientific Affairs. IV. Title. V. Series. QA402.N33 1980 003 81-11944 AACR2 ISBN-13: 978-94-009-8548-3 e-ISBN-13: 978-94-009-8546-9 DOl: 10.1007/978-94-009-8546-9 Published by D. Reidel Publishing Company P.O. Box 17,3300 AA Dordrecht, Holland Sold and distributed in the U.S.A. and Canada by KIU\\"er Boston Inc., 190 Old Derby Street, Hingham, MA 02043, U.S.A. In all other countries, sold and distributed by. Kluwer Academic Publishers Group, P.O. Box 322, 3300 AH Dordrecht, Holland D. Reidel Publishing Company is a member of the Kluwer Group All Rights Reserved Copyright © 1981 by D. Reidel Publishing Company, Dordrecht, Holland Sotkover reprint of the hardcover 1st edition 1981 No part of the material protected by this copyright notice may be reproduced or utilized in any form or by any means, electronic or mechanical, including photocopying, recording or by any informational storage and retrieval system, \\"ithout \I"ritten permission from the copyright owner TABLE OF CONTENTS PREFACE ix LEITFADEN: Interdependence Flowchart for the Tutorials and Invited Lectures xii I. The Main Themes of the ASI "Stochastic Systems": The Mathematics of Filtering and Identification and Applications 1.1. M. Hazewinkel and J. C. Willems / Introduction: An Annotated Navigation Chart and Sketch of the Main Themes in This Volume and their Interrelations 3 2. Introductory Tutorial Material for Identification and Filt~ring Problems 2.1. J. C. Willems / The LQG-Problem: A Brief Tutorial Exposition 29 2.2. R. F. Curtain / A Tutorial Article on the Ito Integral and the Stochastic Calculus 45 2.3. M. H. A. Davis and S. I. Marcus / An Introduction to Nonlinear Filtering 53 2.4. M. Hazewinkel / A Tutorial Introduction to Differentiable Manifolds and Vector Fields 77 2.5. M. Hazewinkel / A Short Tutorial on Lie Algebras 95 3. Foundations of Stochastic Systems and Modeling Issues and Applications 3.1. L. Arnold / Mathematical Models of Chemical Reactions*) III 3.2. L. Arnold / Qualitative Theory of Real Noise Excited Systems*) 135 **)Invited main series of lectures . *)Invited lectures vi TABLE OF CONTENTS 3.3. R. Boel / Stochastic Models of Computer Networks*) 141 3.4. A. Lindquist and G. Picci / State Space Models for Gaussian Stochastic Processes*) 169 3.5. V. Wihstutz / Ergodic Theory of Linaar Pararoeter- excited systems 205 4. Identification 4.1. E. J. Hannan / System Identification*) 221 4.2. L. Ljung / Recursive Identification*) 247 4.3. M. Deistler / The Properties of the Parameterization of ARMAX Systems in Structural Specification and their Relevance for Estimation 283 4.4. D. Guegan / Tests of Adequacy for ARMA Models and Tests of Separated Hypotheses 291 4.5. P. S. Krishnaprasad and S. I. Marcus / Some Nonlinear Filtering Problems Arising in Recursive Identification 299 5. Linear Filtering 5.1. T. Kailath / Some Topics in Linear Estimation**) 307 5.2. P. Dewilde, J. T. Fokkema and I. Widya / Inverse Scattering and Linear Prediction, the Time Continuous Case*) 351 5.3. M. Hazewinkel / Harmonic Analysis and the Mathematics Behind Filtering and Prediction (d'apres P. Cartier d'apres N. Wiener, A. N. Kolmogorov)*) Abstract only. 383 6. Adaptive Control 6.1. Y. D. Landau / Deterministic and Stochastic Model Reference Adaptive Control*) 387 6.2. P. E. Caines and D. Dorer / Adaptive Control of Systems Subject to a Class of Random Parameter Variations and Disturbances*) 421 6.3. J.-J. J. Fuchs / On Stochastic Self-Tuning Methods 433 7. Nonlinear Filtering 7.1. R. W. Brockett / Nonlinear systems and Nonlinear Estimation Theory**) 441 7.2. S. K. Mitter / Non-linear Filtering and Stochastic Mechanics**) 479 7.3. M. H. A. Davis / Pathwise Non-linear Filtering*) 505 TABLE OF CONTENTS vii 7.4. E. Pardoux / Non-linear Filtering, Prediction and Smoothing*) 529 7.5. J. Baillieul / Estimation Problems with Low Dimensional Filters 559 7.6. J. S. Baras / Group Invariance Methods in Nonlinear Filtering of Diffusion Processes 565 7.7. B. Z. Bobrovsky and M. Zakai / Asymptotic Bounds on the Minimal Error of Non-linear Filtering 573 7.8. G. B. Di Masi and W. J. Runggaldier / An Approximation to Optical Nonlinear Filtering with Discontinuous Observations 583 7.9. M. Hazewinkel and S. 1. Marcus / Some Results and Speculations on the Role of Lie Algebras in Filtering 591 7.10. O. Hijab / Deterministic Estimation and Asymptotic Stochastic Estimation 605 7.11. F. Le Gland / Non-linear Filtering Equation and a Problem of Parametric Estimation 613 7.12. D. Michel/Regularity of Conditional Laws in Non-linear Filtering Theory and Stochastic Calculus of Variations 621 7.13. D. Ocone / Finite Dimensional Estimation Algebras in Nonlinear Filtering 629 7.14. H. J. Sussmann / Rigorous Results on the Cubic Sensor Problem 637 7. 15 •. M. Zakai / A Footnote to the Papers which Prove the Non-Existence of Finite Dimensional Filters 649 List of Other Contributed Papers 651 List of Participants 655 Index 657 PREFACE In the last five years or so there has been an important renaissance in the area of (mathematical) modeling, identification and (stochastic) control. It was the purpose of the Advanced Study Institute of which the present volume constitutes the proceedings to review recent developments in this area with par ticular emphasis on identification and filtering and to do so in such a manner that the material is accessible to a wide variety of both embryo scientists and the various breeds of established researchers to whom identification, filtering, etc. are important (such as control engineers, time series analysts, econometricians, probabilists, mathematical geologists, and various kinds of pure and applied mathematicians; all of these were represented at the ASI). For these proceedings we have taken particular care to see to it that the material presented will be understandable for a quite diverse audience. To that end we have added a fifth tutorial section (besides the four presented at the meeting) and have also included an extensive introduction which explains in detail the main problem areas and themes of these proceedings and which outlines how the various contributions fit together to form a coherent, integrated whole. The prerequisites needed to understand the material in this volume are modest and most graduate students in e.g. mathematical systems theory, applied mathematics, econo metrics or control engineering will qualify. And if one finds that one does not have the prerequisites necessary to understand the prerequisites (to quote Paul Halmos) there is no need to get discouraged; much can be done (particularly in this field) by means of osmosis or diffusion coupled with the ability to believe (results of others). The mathematical tools and results used in the area of mathematical systems theory centering around filtering and iden tification have evolved considerably in the recent past. They do not remain restricted to the obviously relevant parts of statis tics, probability and stochastic differential equations but also involve techniques, concepts and results from such fields as topology and geometry of manifolds, Lie algebras (or differential operators), Lie groups, functional analysis (evolution semigroups), ix M. Hazewinkel and J. C. Willems (eds.), Stochastic Systems: The Mathematics of Filtering and Identification and Applications, ix-xi. Copyright © 1981 by D. Reidel Publishing Company. PREFACE x functional integration (Feynman-Kac formulae, path integrals), differential geometry (curvature), quantum field theory (Heisen berg commutation relations, Stone-v. Neumann theorem, stochastic quantization, stochastic mechanics) and in the not too distant future probably such topics as (harmonic) analysis on nil- and solv-manifolds, theta functions, •••••••• As indicated above there are diverse groups of scientists to whom it is of importance to become acquainted woth the various mathematical tools available and above all to see how they work in more or less applied situations. These groups do not always communicate perfectly with each other and we hope that these proceedings will serve as a forum for a dialogue and facilitate interspecialist appreciation and understanding. To this end we aimed to present and discuss the new trends in filtering and identification in an integrated manner together with the underlying mathematics and its applica tions (both actual and potential) and in relation with the mathematical problems thrown up or suggested by the various engineering and time series approaches to filtering, identifica tion, adaptive control and modeling. We leave to the reader to judge whether these proceedings fulfill these noble intentions. In any case the NATO division of scientific affairs agreed with us that it was definitely worth trying and supplied a substantial grant from their ASI program which put the meeting on a sound financial basis. It is a pleasure to record here our indebtedness to Dr T. Kester of International Transfer of Science and Technology and Dr M. diLullo of the NATO Scientific Affairs division for their help, advice, and encouragement also in the earlier planning stages of this ASI. In addition we gave a rather large number of big industrial corporations and other organizations the opportunity to contribute s~mething financial towards the success of the conference. Most resolutely refused to help in any way (a list is available on request) but it is pleasure to mention the favourable exceptions: ESSO Nederland BV which supplied support which enabled us to assist a number of participants from Non-NATO countries; NSF which supplied the air ticket for one junior participant fron the USA and Shell Nederland BV which donated full expenses for three junior participants from The Netherlands. In addition North Holland Publ. Co., Prentice Hall and especially D. Reidel Publ. Co. and Pitman Publ. Co. helped us with a modest book display, thus making the ASI more attractive. Finally it remains for us to thank the many people in our respective institutes and the staff at Les Arcs for their manifold efforts towards the success of the meeting. In addition to the tutorial and invited papers (marked with * or ** in the table of contents) these proceedings contain a number of contributed papers. Quite apart from the intrinsic merits of these papers their selection mainly reflects the PREFACE idiosyncratic tastes of the editors, though we also believe that they fit the main themes of the conference well and together with the invited papers give a very fair picture of the emerging new trends in modeling, identification and adaptive control and linear and nonlinear filtering. This last topic, practically a new emerging field, which seems to have an unusually bright immediate future, has especially received much attention both because of the wealth of recent fundamental results and its glittering prospects.

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