State Estimation for Distributed Systems with Stochastic and Set-membership Uncertainties

By Benjamin Noack

Book Overview

State estimation techniques for centralized, distributed, and decentralized systems are studied. An easy-to-implement state estimation concept is introduced that generalizes and combines basic principles of Kalman filter theory and ellipsoidal calculus. By means of this method, stochastic and set-membership uncertainties can be taken into consideration simultaneously. Different solutions for implementing these estimation algorithms in distributed networked systems are presented.

• Format: Paperback
• Language: English
• ISBN: 3731501244
• ISBN13: 9783731501244
• Release Date: January 2014
• Publisher: Karlsruher Institut Fur Technologie
• Length: 290 Pages
• Weight: 0.77 lbs.
• Dimensions: 0.6" x 5.8" x 8.3"