Stochastic Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Stochastic Systems write by P. R. Kumar. This book was released on 2015-12-15. Stochastic Systems available in PDF, EPUB and Kindle. 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
Identification and Stochastic Adaptive Control - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Identification and Stochastic Adaptive Control write by Han-fu Chen. This book was released on 2012-12-06. Identification and Stochastic Adaptive Control available in PDF, EPUB and Kindle. 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
Identification and Stochastic Adaptive Control - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Identification and Stochastic Adaptive Control write by Hanfu Chen. This book was released on 1991-01-01. Identification and Stochastic Adaptive Control available in PDF, EPUB and Kindle.
Stochastic Systems: Estimation Identification and Adaptive Control
Stochastic Systems: Estimation Identification and Adaptive Control - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Stochastic Systems: Estimation Identification and Adaptive Control write by Kumar P R. This book was released on 1986. Stochastic Systems: Estimation Identification and Adaptive Control available in PDF, EPUB and Kindle.
Topics in Stochastic Systems: Modelling, Estimation and Adaptive Control
Topics in Stochastic Systems: Modelling, Estimation and Adaptive Control - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Topics in Stochastic Systems: Modelling, Estimation and Adaptive Control write by L. Gerencser. This book was released on 1991-07-25. Topics in Stochastic Systems: Modelling, Estimation and Adaptive Control available in PDF, EPUB and Kindle. This book contains a collection of survey papers in the areas of modelling, estimation and adaptive control of stochastic systems describing recent efforts to develop a systematic and elegant theory of identification and adaptive control. It is meant to provide a fast introduction to some of the recent achievements. The book is intended for graduate students and researchers interested in statistical problems of control in general. Students in robotics and communication will also find it valuable. Readers are expected to be familiar with the fundamentals of probability theory and stochastic processes.
