Topics in Stochastic Systems: Modelling, Estimation and Adaptive Control

P. E. Caines

ISBN 10: 3540541330 / ISBN 13: 9783540541332

Published by Springer Berlin Heidelberg, Springer Berlin Heidelberg Jul 1991, 1991

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 412 pp. Englisch.

Seller Inventory # 9783540541332

Bibliographic Details

• Title: Topics in Stochastic Systems: Modelling, Estimation and Adaptive Control
• Publisher: Springer Berlin Heidelberg, Springer Berlin Heidelberg Jul 1991
• Publication Date: 1991
• Language: English
• ISBN 10: 3540541330
• ISBN 13: 9783540541332
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 244W x 170H x 23D millimeters 244 millimeters width by 170 millimeters height by 23 millimeters depth
• Weight: 708 grams

About this title

Synopsis

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.