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Author : Maybeck
Publisher : Academic Press
ISBN 13 : 0080956513
Total Pages : 307 pages
Book Rating : 4.0/5 (89 download)
Download or read book Stochastic Models: Estimation and Control: v. 2 written by Maybeck and published by Academic Press. This book was released on 1982-08-10 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stochastic Models: Estimation and Control: v. 2
Author : Maybeck
Publisher : Academic Press
ISBN 13 : 0080956505
Total Pages : 445 pages
Book Rating : 4.0/5 (89 download)
Download or read book Stochastic Models: Estimation and Control: v. 1 written by Maybeck and published by Academic Press. This book was released on 1979-07-17 with total page 445 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stochastic Models: Estimation and Control: v. 1
Author : Peter S. Maybeck
Publisher : Academic Press
ISBN 13 : 0080960030
Total Pages : 311 pages
Book Rating : 4.0/5 (89 download)
Download or read book Stochastic Models, Estimation, and Control written by Peter S. Maybeck and published by Academic Press. This book was released on 1982-08-25 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume builds upon the foundations set in Volumes 1 and 2. Chapter 13 introduces the basic concepts of stochastic control and dynamic programming as the fundamental means of synthesizing optimal stochastic control laws.
Author : Peter S. Maybeck
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (15 download)
Download or read book Stochastic Models, Estimation and Control written by Peter S. Maybeck and published by . This book was released on 2002 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Peter S. Maybeck
Publisher :
ISBN 13 : 9780124110427
Total Pages : 423 pages
Book Rating : 4.1/5 (14 download)
Download or read book Stochastic Models, Estimation and Control written by Peter S. Maybeck and published by . This book was released on 1979 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Peter S. Maybeck
Publisher :
ISBN 13 :
Total Pages : 423 pages
Book Rating : 4.:/5 (78 download)
Download or read book Stochastic Models, Estimation and Control written by Peter S. Maybeck and published by . This book was released on 1979 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Peter S. Maybeck
Publisher :
ISBN 13 : 9780124807020
Total Pages : pages
Book Rating : 4.8/5 (7 download)
Download or read book Stochastic Models, Estimation and Control written by Peter S. Maybeck and published by . This book was released on 1982 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Peter S. Maybeck
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (635 download)
Download or read book Stochastic Models, Estimation, and Control written by Peter S. Maybeck and published by . This book was released on 2002 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Peter S. Maybeck
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (631 download)
Download or read book Stochastic Models, Estimation and Control written by Peter S. Maybeck and published by . This book was released on 1979 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : John A. Borrie
Publisher :
ISBN 13 :
Total Pages : 308 pages
Book Rating : 4.F/5 ( download)
Download or read book Stochastic Systems for Engineers written by John A. Borrie and published by . This book was released on 1992 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: A self-contained introduction to stochastic systems and an ordered presentation of techniques for computer modelling, filtering and control of these systems. The subject is developed with definition, formulae and explanations but without detailed mathematical proofs.
Author : Jason L. Speyer
Publisher : SIAM
ISBN 13 : 0898716551
Total Pages : 391 pages
Book Rating : 4.8/5 (987 download)
Download or read book Stochastic Processes, Estimation, and Control written by Jason L. Speyer and published by SIAM. This book was released on 2008-11-06 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: The authors provide a comprehensive treatment of stochastic systems from the foundations of probability to stochastic optimal control. The book covers discrete- and continuous-time stochastic dynamic systems leading to the derivation of the Kalman filter, its properties, and its relation to the frequency domain Wiener filter aswell as the dynamic programming derivation of the linear quadratic Gaussian (LQG) and the linear exponential Gaussian (LEG) controllers and their relation to HÝsubscript 2¨ and HÝsubscript Ýinfinity¨¨ controllers and system robustness. This book is suitable for first-year graduate students in electrical, mechanical, chemical, and aerospace engineering specializing in systems and control. Students in computer science, economics, and possibly business will also find it useful.
Author : Alexander V. Nebylov
Publisher : John Wiley & Sons
ISBN 13 : 1119163072
Total Pages : 391 pages
Book Rating : 4.1/5 (191 download)
Download or read book Aerospace Navigation Systems written by Alexander V. Nebylov and published by John Wiley & Sons. This book was released on 2016-08-01 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: Compiled by leading authorities, Aerospace Navigation Systems is a compendium of chapters that present modern aircraft and spacecraft navigation methods based on up-to-date inertial, satellite, map matching and other guidance techniques. Ranging from the practical to the theoretical, this book covers navigational applications over a wide range of aerospace vehicles including aircraft, spacecraft and drones, both remotely controlled and operating as autonomous vehicles. It provides a comprehensive background of fundamental theory, the utilisation of newly-developed techniques, incorporates the most complex and advanced types of technical innovation currently available and presents a vision for future developments. Satellite Navigation Systems (SNS), long range navigation systems, short range navigation systems and navigational displays are introduced, and many other detailed topics include Radio Navigation Systems (RNS), Inertial Navigation Systems (INS), Homing Systems, Map Matching and other correlated-extremalsystems, and both optimal and sub-optimal filtering in integrated navigation systems.
Author : Mohamed Najim
Publisher : John Wiley & Sons
ISBN 13 : 0470393688
Total Pages : 410 pages
Book Rating : 4.4/5 (73 download)
Download or read book Modeling, Estimation and Optimal Filtration in Signal Processing written by Mohamed Najim and published by John Wiley & Sons. This book was released on 2010-01-05 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this book is to provide graduate students and practitioners with traditional methods and more recent results for model-based approaches in signal processing. Firstly, discrete-time linear models such as AR, MA and ARMA models, their properties and their limitations are introduced. In addition, sinusoidal models are addressed. Secondly, estimation approaches based on least squares methods and instrumental variable techniques are presented. Finally, the book deals with optimal filters, i.e. Wiener and Kalman filtering, and adaptive filters such as the RLS, the LMS and their variants.
Author : Broemeling
Publisher : CRC Press
ISBN 13 : 1351464485
Total Pages : 472 pages
Book Rating : 4.3/5 (514 download)
Download or read book Bayesian Analysis of Linear Models written by Broemeling and published by CRC Press. This book was released on 2017-11-22 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: With Bayesian statistics rapidly becoming accepted as a way to solve applied statisticalproblems, the need for a comprehensive, up-to-date source on the latest advances in thisfield has arisen.Presenting the basic theory of a large variety of linear models from a Bayesian viewpoint,Bayesian Analysis of Linear Models fills this need. Plus, this definitive volume containssomething traditional-a review of Bayesian techniques and methods of estimation, hypothesis,testing, and forecasting as applied to the standard populations ... somethinginnovative-a new approach to mixed models and models not generally studied by statisticianssuch as linear dynamic systems and changing parameter models ... and somethingpractical-clear graphs, eary-to-understand examples, end-of-chapter problems, numerousreferences, and a distribution appendix.Comprehensible, unique, and in-depth, Bayesian Analysis of Linear Models is the definitivemonograph for statisticians, econometricians, and engineers. In addition, this text isideal for students in graduate-level courses such as linear models, econometrics, andBayesian inference.
Author : Bruce P. Gibbs
Publisher : John Wiley & Sons
ISBN 13 : 1118003160
Total Pages : 559 pages
Book Rating : 4.1/5 (18 download)
Download or read book Advanced Kalman Filtering, Least-Squares and Modeling written by Bruce P. Gibbs and published by John Wiley & Sons. This book was released on 2011-03-29 with total page 559 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended primarily as a handbook for engineers who must design practical systems. Its primary goal is to discuss model development in sufficient detail so that the reader may design an estimator that meets all application requirements and is robust to modeling assumptions. Since it is sometimes difficult to a priori determine the best model structure, use of exploratory data analysis to define model structure is discussed. Methods for deciding on the “best” model are also presented. A second goal is to present little known extensions of least squares estimation or Kalman filtering that provide guidance on model structure and parameters, or make the estimator more robust to changes in real-world behavior. A third goal is discussion of implementation issues that make the estimator more accurate or efficient, or that make it flexible so that model alternatives can be easily compared. The fourth goal is to provide the designer/analyst with guidance in evaluating estimator performance and in determining/correcting problems. The final goal is to provide a subroutine library that simplifies implementation, and flexible general purpose high-level drivers that allow both easy analysis of alternative models and access to extensions of the basic filtering. Supplemental materials and up-to-date errata are downloadable at http://booksupport.wiley.com.
Author : Torsten Söderström
Publisher : Springer Science & Business Media
ISBN 13 : 1447101014
Total Pages : 387 pages
Book Rating : 4.4/5 (471 download)
Download or read book Discrete-time Stochastic Systems written by Torsten Söderström and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive introduction to the estimation and control of dynamic stochastic systems provides complete derivations of key results. The second edition includes improved and updated material, and a new presentation of polynomial control and new derivation of linear-quadratic-Gaussian control.
Author : P. R. Kumar
Publisher : SIAM
ISBN 13 : 1611974267
Total Pages : 371 pages
Book Rating : 4.6/5 (119 download)
Download or read book Stochastic Systems written by P. R. Kumar and published by SIAM. This book was released on 2015-12-15 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since its origins in the 1940s, the subject of decision making under uncertainty has grown into a diversified area with application in several branches of engineering and in those areas of the social sciences concerned with policy analysis and prescription. These approaches required a computing capacity too expensive for the time, until the ability to collect and process huge quantities of data engendered an explosion of work in the area. This book provides succinct and rigorous treatment of the foundations of stochastic control; a unified approach to filtering, estimation, prediction, and stochastic and adaptive control; and the conceptual framework necessary to understand current trends in stochastic control, data mining, machine learning, and robotics.?
