State Estimation for Distributed Systems with Stochastic and Set-membership Uncertainties
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-me...
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| Format: | Online |
| Idioma: | anglès |
| Publicat: |
KIT Scientific Publishing
2021
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| Matèries: | |
| Accés en línia: | 35025 |
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