@book{Noack2014, abstract = {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.Umfang: XVIII, 257 S.Preis: €47.00 | £43.00 | $83.00}, address = {Karlsruhe}, author = {Noack, Benjamin}, doi = {10.5445/KSP/1000036878}, isbn = {978-3-7315-0124-4}, keyword = {Kalman filter, set-membership estimation, Bayesian state estimation, distributed estimation}, month = {Jan}, pages = {289}, publisher = {KIT Scientific Publishing}, title = {State Estimation for Distributed Systems with Stochastic and Set-membership Uncertainties}, year = {2014} }