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Stochastic Systems

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Release : 2015-12-15
Genre : Mathematics
Kind : eBook
Book Rating : 267/5 ( reviews)

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Book Synopsis Stochastic Systems by : P. R. Kumar

Download or read book Stochastic Systems written by P. R. Kumar. This book was released on 2015-12-15. 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.?

Identification and Stochastic Adaptive Control

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Release : 2012-12-06
Genre : Science
Kind : eBook
Book Rating : 291/5 ( reviews)

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Book Synopsis Identification and Stochastic Adaptive Control by : Han-fu Chen

Download or read book Identification and Stochastic Adaptive Control written by Han-fu Chen. This book was released on 2012-12-06. Available in PDF, EPUB and Kindle. Book excerpt: Identifying the input-output relationship of a system or discovering the evolutionary law of a signal on the basis of observation data, and applying the constructed mathematical model to predicting, controlling or extracting other useful information constitute a problem that has been drawing a lot of attention from engineering and gaining more and more importance in econo metrics, biology, environmental science and other related areas. Over the last 30-odd years, research on this problem has rapidly developed in various areas under different terms, such as time series analysis, signal processing and system identification. Since the randomness almost always exists in real systems and in observation data, and since the random process is sometimes used to model the uncertainty in systems, it is reasonable to consider the object as a stochastic system. In some applications identification can be carried out off line, but in other cases this is impossible, for example, when the structure or the parameter of the system depends on the sample, or when the system is time-varying. In these cases we have to identify the system on line and to adjust the control in accordance with the model which is supposed to be approaching the true system during the process of identification. This is why there has been an increasing interest in identification and adaptive control for stochastic systems from both theorists and practitioners.

Identification and Stochastic Adaptive Control

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Release : 1991-01-01
Genre : Adaptive control systems
Kind : eBook
Book Rating : 977/5 ( reviews)

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Book Synopsis Identification and Stochastic Adaptive Control by : Hanfu Chen

Download or read book Identification and Stochastic Adaptive Control written by Hanfu Chen. This book was released on 1991-01-01. Available in PDF, EPUB and Kindle. Book excerpt:

Stochastic Systems: Estimation Identification and Adaptive Control

Download Stochastic Systems: Estimation Identification and Adaptive Control PDF Online Free

Author :
Release : 1986
Genre :
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Stochastic Systems: Estimation Identification and Adaptive Control by : Kumar P R

Download or read book Stochastic Systems: Estimation Identification and Adaptive Control written by Kumar P R. This book was released on 1986. Available in PDF, EPUB and Kindle. Book excerpt:

Stochastic Adaptive Control Results and Simulations

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Release : 2014-03-12
Genre : Technology & Engineering
Kind : eBook
Book Rating : 983/5 ( reviews)

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Book Synopsis Stochastic Adaptive Control Results and Simulations by : Alexis Aloneftis

Download or read book Stochastic Adaptive Control Results and Simulations written by Alexis Aloneftis. This book was released on 2014-03-12. Available in PDF, EPUB and Kindle. Book excerpt: The theme of this monograph is the adaptive control of systems in a stochastic environment and, more precisely, the study of the tracking problem for ARMAX SISO stochastic systems with time invariant and time varying parameters. Results of simultaneous tracking and parameter identification are included. The author has aimed to (1) provide a reasonably self-contained and up-to-date exposition of the tracking problem after having properly placed it amongst numerous ideas, approaches, and subproblems related to adaptive control, (2) display computer simulation results and discuss their comparative behaviour, (3) introduce a new approach to the stochastic adaptive control with promising results, and (4) qualitatively discuss the adaptive control problem in the hope of improving our understanding of it, stimulate the informed reader to come up with new ideas, and attract newcomers to its study. The reader is assumed to have studied control systems at the graduate level and to have a reasonably good grasp of basic probability theory. Apart from its educational value to the adaptive control student, it is hoped that the accumulation of scattered results and their computer simulation, as well as an extensive reference section will attract the active researcher in this field.

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