Fr. 165.00

Applications and Optimizations of Kalman Filter and Their Variants

English · Hardback

Shipping usually within 2 to 3 weeks (title will be printed to order)

Description

Read more










Applications and Optimizations of Kalman Filter and Their Variants is a comprehensive exploration of Kalman filters¿ diverse applications and refined optimizations across various domains. It meticulously examines their role in microgrid management, offering adaptive estimation techniques for effective control strategies. The book then delves into distribution system state estimation, showcasing an innovative stochastic programming model using extended Kalman filters for reliable monitoring and control. In the realm of financial modeling, readers gain insights into how Kalman filters enhance trading strategies like pairs trading and partial co-integration, bridging finance and analytics. Moreover, the book discusses Kalman filter optimization, addressing challenges in object tracking and error reduction with techniques like dynamic stochastic approximation algorithms and M-robust estimates. With practical examples and interdisciplinary approaches, this book serves as a valuable resource for researchers, practitioners, and students looking to harness Kalman filter techniques for enhanced efficiency and accuracy across diverse fields.

Product details

Assisted by Asadullah Khalid (Editor), Hugo Riggs (Editor), Arif Sarwat (Editor)
Publisher IntechOpen
 
Languages English
Product format Hardback
Released 17.07.2024
 
EAN 9780854665662
ISBN 978-0-85466-566-2
No. of pages 202
Dimensions 183 mm x 260 mm x 19 mm
Weight 633 g
Subject Natural sciences, medicine, IT, technology > Mathematics > Miscellaneous

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.