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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| Autor principal: | |
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| Formato: | Online |
| Idioma: | inglês |
| Publicado em: |
KIT Scientific Publishing
2021
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| Assuntos: | |
| Acesso em linha: | 35025 |
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