1# Library to Find Best eBook for Read
Author : L Gerencser
Release : 2014-01-15
Genre :
Kind : eBook
Book Rating : 249/5 ( reviews)
Book Synopsis Topics in Stochastic Systems by : L Gerencser
Download or read book Topics in Stochastic Systems written by L Gerencser. This book was released on 2014-01-15. Available in PDF, EPUB and Kindle. Book excerpt:
Author : L. Gerencser
Release : 1991-07-25
Genre : Technology & Engineering
Kind : eBook
Book Rating : 332/5 ( reviews)
Book Synopsis Topics in Stochastic Systems: Modelling, Estimation and Adaptive Control by : L. Gerencser
Download or read book Topics in Stochastic Systems: Modelling, Estimation and Adaptive Control written by L. Gerencser. This book was released on 1991-07-25. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : P. R. Kumar
Release : 2015-12-15
Genre : Mathematics
Kind : eBook
Book Rating : 267/5 ( reviews)
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.?
Author : Hong Wang
Release : 2012-12-06
Genre : Technology & Engineering
Kind : eBook
Book Rating : 811/5 ( reviews)
Book Synopsis Bounded Dynamic Stochastic Systems by : Hong Wang
Download or read book Bounded Dynamic Stochastic Systems written by Hong Wang. This book was released on 2012-12-06. Available in PDF, EPUB and Kindle. Book excerpt: Over the past decades, although stochastic system control has been studied intensively within the field of control engineering, all the modelling and control strategies developed so far have concentrated on the performance of one or two output properties of the system. such as minimum variance control and mean value control. The general assumption used in the formulation of modelling and control strategies is that the distribution of the random signals involved is Gaussian. In this book, a set of new approaches for the control of the output probability density function of stochastic dynamic systems (those subjected to any bounded random inputs), has been developed. In this context, the purpose of control system design becomes the selection of a control signal that makes the shape of the system outputs p.d.f. as close as possible to a given distribution. The book contains material on the subjects of: - Control of single-input single-output and multiple-input multiple-output stochastic systems; - Stable adaptive control of stochastic distributions; - Model reference adaptive control; - Control of nonlinear dynamic stochastic systems; - Condition monitoring of bounded stochastic distributions; - Control algorithm design; - Singular stochastic systems. A new representation of dynamic stochastic systems is produced by using B-spline functions to descripe the output p.d.f. Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.
Author : Kumar P R
Release : 1986
Genre :
Kind : eBook
Book Rating : /5 ( reviews)
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:
