EAN: 9783731501244

STATE ESTIMATION FOR DISTRIBUTED SYSTEMS WITH S...

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.

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