Adaptive Estimation and Control
The Partitioning Approach
Published on 1. October 1991
Book
Hardback
500 pages
978-0-13-005422-7 (ISBN)
Description
This work unifies the partitioned adaptive estimators for stochastic systems and applies them to other estimation and control problems. The techniques used are not restricted to lumped-parameter systems with unknown constant parameters, but serve as a starting point for more complicated problems. These include abruptly changing parameters such as Markov jump and distributed parameter systems. Some useful background material is provided in the appendices and there is also a summary of recent work.
More details
Series
Language
English
Place of publication
Harlow
United Kingdom
Publishing group
Pearson Education Limited
Target group
College/higher education
Professional and scholarly
Illustrations
references, index
Dimensions
Height: 236 mm
Width: 154 mm
Weight
996 gr
ISBN-13
978-0-13-005422-7 (9780130054227)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Content
Review of Kalman filtering theory; structure and parameter adaptive estimation; asymptotic and convergence properties of partitioned adaptive systems; partitioning filter - probabilistic approach; partitioning estimators - scattering approach; pseudolinear partitioning filter and tracking motion analysis; two-stage bias correction estimators based on generalized partitioning filter; forward-pass fixed-interval smoother in discrete-time systems; multiple model adaptive filtering and control for Markovian jump system.