Bounded Dynamic Stochastic Systems

Name: Bounded Dynamic Stochastic Systems
Brand: Springer London Ltd
SKU: 9781447111511
Price: 553.26 RON
Availability: InStock

Modelling and Control

Autor: Hong Wang

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Editura: Springer London Ltd

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Over the past decades, although stochastic system control has been studied intensively within the fi...

Informații despre carte

Autor

Hong Wang

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2000

Pagini

176

EAN

9781447111511

ISBN

1447111516

Enbook ID

02016188

Editura

Springer London Ltd

Greutate

308

Dimensiuni

155 x 235 x 11

Descriere completă

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.

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Bounded Dynamic Stochastic Systems

Modelling and Control

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