Transcription of Stochastic models, estimation, and control
{{id}} {{{paragraph}}}
Example: stock market
Stochastic models, estimation, and control
Stochastic models, estimation , and control VOLUME 1 PETER S. MAYBECK DEPARTMENT OF ELECTRICAL ENGINEERINGAIR FORCE INSTITUTE OF TECHNOLOGYWRIGHT-PATTERSON AIR FORCE BASEOHIOACADEMIC PRESS New York San Francisco London 1979A Subsidiary of Harcourt Brace Jovanovich, Publishers C OPYRIGHT 1979, BY A CADEMIC P RESS , I NC .ALL RIGHTS PART OF THIS PUBLICATION MAY BE REPRODUCED ORTRANSMITTED IN ANY FORM OR BY ANY MEANS, ELECTRONICOR MECHANICAL, INCLUDING PHOTOCOPY, RECORDING, OR ANYINFORMATION STORAGE AND RETRIEVAL SYSTEM, WITHOUTPERMISSION IN WRITING FROM THE PRESS, Fifth Avenue, New York, New York 10003 United Kingdom Edition published by ACADEMIC PRESS, INC. (LONDON) Oval Road, London NW1 7 DXLibrary of Congress Cataloging in Publication DataMaybeck, Peter SStochastic models, estimation and control .
1.2 OVERVIEW OF THE TEXT. Chapters 2-4 are devoted to the stochastic modeling problem. First Chapter 2 reviews the pertinent aspects of deterministic system models, to be exploited and generalized subsequently. Probability theory provides the basis of all of our stochastic models, and Chapter 3 develops both the general concepts and
Loading..
Tags:
Information
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document: