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

Download or read book State Estimation for Distributed Systems with Stochastic and Set-membership Uncertainties written by Noack, Benjamin and published by KIT Scientific Publishing. This book was released on 2014-01-02 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.