Stochastic Processes, Estimation, and Control

Stochastic Processes, Estimation, and Control
Author: Jason L. Speyer
Publisher: SIAM
Total Pages: 391
Release: 2008-11-06
Genre: Mathematics
ISBN: 0898716551

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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.

Stochastic Systems

Stochastic Systems
Author: P. R. Kumar
Publisher: SIAM
Total Pages: 371
Release: 2015-12-15
Genre: Mathematics
ISBN: 1611974267

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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.?

Stochastic Processes, Finance And Control: A Festschrift In Honor Of Robert J Elliott

Stochastic Processes, Finance And Control: A Festschrift In Honor Of Robert J Elliott
Author: Samuel N Cohen
Publisher: World Scientific
Total Pages: 605
Release: 2012-08-10
Genre: Mathematics
ISBN: 9814483915

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This book consists of a series of new, peer-reviewed papers in stochastic processes, analysis, filtering and control, with particular emphasis on mathematical finance, actuarial science and engineering. Paper contributors include colleagues, collaborators and former students of Robert Elliott, many of whom are world-leading experts and have made fundamental and significant contributions to these areas.This book provides new important insights and results by eminent researchers in the considered areas, which will be of interest to researchers and practitioners. The topics considered will be diverse in applications, and will provide contemporary approaches to the problems considered. The areas considered are rapidly evolving. This volume will contribute to their development, and present the current state-of-the-art stochastic processes, analysis, filtering and control.Contributing authors include: H Albrecher, T Bielecki, F Dufour, M Jeanblanc, I Karatzas, H-H Kuo, A Melnikov, E Platen, G Yin, Q Zhang, C Chiarella, W Fleming, D Madan, R Mamon, J Yan, V Krishnamurthy.

Stochastic Processes, Estimation, and Control

Stochastic Processes, Estimation, and Control
Author: Jason L. Speyer
Publisher: SIAM
Total Pages: 392
Release: 2008-01-01
Genre: Mathematics
ISBN: 0898718597

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Uncertainty and risk are integral to engineering because real systems have inherent ambiguities that arise naturally or due to our inability to model complex physics. The authors discuss probability theory, stochastic processes, estimation, and stochastic control strategies and show how probability can be used to model uncertainty in control and estimation problems. The material is practical and rich in research opportunities.

Stochastic Models: Estimation and Control: v. 2

Stochastic Models: Estimation and Control: v. 2
Author: Maybeck
Publisher: Academic Press
Total Pages: 307
Release: 1982-08-10
Genre: Mathematics
ISBN: 0080956513

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Stochastic Models: Estimation and Control: v. 2

Stochastic Methods for Estimation and Problem Solving in Engineering

Stochastic Methods for Estimation and Problem Solving in Engineering
Author: Kadry, Seifedine
Publisher: IGI Global
Total Pages: 291
Release: 2018-03-02
Genre: Technology & Engineering
ISBN: 1522550461

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Utilizing mathematical algorithms is an important aspect of recreating real-world problems in order to make important decisions. By generating a randomized algorithm that produces statistical patterns, it becomes easier to find solutions to countless situations. Stochastic Methods for Estimation and Problem Solving in Engineering provides emerging research on the role of random probability systems in mathematical models used in various fields of research. While highlighting topics, such as random probability distribution, linear systems, and transport profiling, this book explores the use and behavior of uncertain probability methods in business and science. This book is an important resource for engineers, researchers, students, professionals, and practitioners seeking current research on the challenges and opportunities of non-deterministic probability models.

Stochastic Systems for Engineers

Stochastic Systems for Engineers
Author: John A. Borrie
Publisher:
Total Pages: 308
Release: 1992
Genre: Mathematics
ISBN:

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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.

Stochastic Models, Estimation, and Control

Stochastic Models, Estimation, and Control
Author: Peter S. Maybeck
Publisher: Academic Press
Total Pages: 311
Release: 1982-08-25
Genre: Mathematics
ISBN: 0080960030

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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.

Stochastic Models: Estimation and Control: v. 1

Stochastic Models: Estimation and Control: v. 1
Author: Maybeck
Publisher: Academic Press
Total Pages: 445
Release: 1979-07-17
Genre: Mathematics
ISBN: 0080956505

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Stochastic Models: Estimation and Control: v. 1

Discrete-time Stochastic Systems

Discrete-time Stochastic Systems
Author: Torsten Söderström
Publisher: Springer Science & Business Media
Total Pages: 387
Release: 2012-12-06
Genre: Mathematics
ISBN: 1447101014

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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.