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Topics in Stochastic Systems: Modelling, Estimation and Adaptive Control

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 rec...

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Bibliographic Details
Other Authors: Gerencser, L. (Editor), Caines, P. E. (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 1991, 1991
Edition:1st ed. 1991
Series:Lecture Notes in Control and Information Sciences
Subjects:
Industrial Management
Control, Robotics, Automation
Engineering Mathematics
Calculus Of Variations And Optimization
Control Theory
Systems Theory, Control
System Theory
Control Engineering
Robotics
Engineering / Data Processing
Mathematical Optimization
Automation
Mathematical And Computational Engineering Applications
Calculus Of Variations
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
Description
Summary: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
Physical Description:IV, 405 p. 3 illus online resource
ISBN:9783540474357

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