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

By Benjamin Noack

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

By Benjamin Noack

0 - Default Title
Description
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.
Product details
Binding:
Paperback
Number of Pages:
290
Release Date:
2014-01-02
Publication Date:
2014-09-03
Publisher:
Karlsruher Institut für Technologie
Languages:
Original: English
ISBN10:
3731501244
ISBN13:
9783731501244
GPSR Manufacturer Reference:
[email protected]
Weight:
424 g
Height:
148 cm
Width:
210 cm
Thickness:
18 cm
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