» » Optimal Control and Stochastic Estimation . Volume 1 (v. 1)

Download Optimal Control and Stochastic Estimation . Volume 1 (v. 1) fb2

by Michael J. Grimble,Michael A. Johnson
Download Optimal Control and Stochastic Estimation . Volume 1 (v. 1) fb2
Engineering
  • Author:
    Michael J. Grimble,Michael A. Johnson
  • ISBN:
    0471905933
  • ISBN13:
    978-0471905936
  • Genre:
  • Publisher:
    John Wiley & Sons Ltd (January 27, 1988)
  • Pages:
    582 pages
  • Subcategory:
    Engineering
  • Language:
  • FB2 format
    1639 kb
  • ePUB format
    1672 kb
  • DJVU format
    1309 kb
  • Rating:
    4.6
  • Votes:
    792
  • Formats:
    lrf azw mbr txt


Michael J. Grimble, Michael A. Johnson. Two volumes, which together present a modern and comprehensive overview of the field of optimal control and stochastic estimation.

Michael J. Volume 1 concentrates on the deterministic aspects of linear optimal control theory, whilst Volume 2 is concerned with stochastic optimal control theory and its applications. Over the past 15 years this area has been the subject of wide debate and activity. The authors have aimed in these two volumes to make this wealth of material fall into place and to establish a fresh conceptual perspective of the field.

Optimal Control and Stochastic Estimation : Theory and Applications Two volumes, which together present a modern and comprehensive overview of the field of optimal control and stochastic estimation.

Optimal Control and Stochastic Estimation : Theory and Applications. by Michael A. Johnson and Michael J. Grimble. Select Format: Hardcover. ISBN13:9780471912651. Release Date:June 1988.

Read by Michael J. See a Problem? We’d love your help.

Control systems, Estimation, system Models, Stochastic systems. Folkscanomy: Psychology and Mind. Folkscanomy: A Library of Books. Additional Collections. Uploaded by EESSKFUPM on April 3, 2017.

I would also recommend Gelb and Dan Simon's recent book Optimal State Estimation as texts that should be consulted alongside Maybeck. 6 people found this helpful.

There's no description for this book yet.

Optimal control and stochastic estimation Close. 1 2 3 4 5. Want to Read. Are you sure you want to remove Optimal control and stochastic estimation from your list? Optimal control and stochastic estimation. theory and applications. by Michael J. Includes bibliographies and index. A Wiley-Interscience publication.

Time Domain Analysis of the Optimal Stochastic Linear Control Problem. Extensions and Assessment of Time Domain Linear Quadratic Gaussian Controllers. Frequency Domain Analysis of Linear Stochastic Optimal Control Problems: A Polynomial Matrix Approach. Optimal Self-tuning Control Systems.

Print Book & E-Book. Mathematics in Science and Engineering. Stochastic Models: Estimation and Control: v. 1. ISBN 9780124807013, 9780080956503. View on ScienceDirect. 1, Volume 141A. eBook ISBN: 9780080956503.

Optimal Control and Stochastic Estimation Volume 2. Michael J. Grimble and Michael A. John Wiley & Son 1988. Journal of Basic En. Mar 1960, Vol. A DSP based Robust Optimal Servo Motor controller. P J. Kettle, A Murray, A Holohan. Preceedings from EPE’97, September 97 pp . 76-3. Robust Optimal Servo Motor controller design. Preceedings from ICSPAT 96, October 96 Boston MA pp 1196-1203. Robust-Optimal Control for a Servo Motor.

In book: Estimation and Control of Dynamical Systems, p. 49-317. Cite this publication. Stochastic Differential Equations, Backward SDEs, Partial Differential Equations.

Two volumes, which together present a modern and comprehensive overview of the field of optimal control and stochastic estimation. Volume 1 concentrates on the deterministic aspects of linear optimal control theory, whilst Volume 2 is concerned with stochastic optimal control theory and its applications. Over the past 15 years this area has been the subject of wide debate and activity. The authors have aimed in these two volumes to make this wealth of material fall into place and to establish a fresh conceptual perspective of the field. They have also lain special emphasis on the practical applications of the theory: each chapter concludes with a series of problems, and an extensive list of references, while the final chapter of each volume is devoted to a detailed study of one particular application of the theories expounded. The authors have considerable experience in this area, both as a result of extensive research and because of their practical knowledge of industrial projects, particularly through the Industrial Control Unit at Strathclyde University. Their text will provide an invaluable insight for industrial engineers into the power and scope of the optimal control and estimation approach. Several of the topics discussed are open research questions which will be of importance to post-graduate research engineers, as well as undergraduate students.