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

ISBN-13: 9783731501244 / Angielski / Miękka / 2014 / 290 str.

Benjamin Noack

Opis

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.