TY - BOOK AU - Noack, Benjamin PY - 2014 TI - State Estimation for Distributed Systems with Stochastic and Set-membership Uncertainties AB - 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 PB - KIT Scientific Publishing CY - Karlsruhe KW - Kalman filter KW - set-membership estimation KW - Bayesian state estimation KW - distributed estimation SN - 978-3-7315-0124-4 DO - 10.5445/KSP/1000036878 SE - 289