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Beschreibung
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.
Details
| Verlag | KIT Scientific Publishing |
| Ersterscheinung | 02. Januar 2014 |
| Maße | 21 cm x 14.8 cm |
| Gewicht | 480 Gramm |
| Format | Softcover |
| ISBN-13 | 9783731501244 |
| Seiten | 289 |
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