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State Estimation for Distributed Systems with Stochastic and Set-membership Uncertainties
Noack, Benjamin
2014
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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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Keywords
- Bayesian state estimation
- distributed estimation
- Kalman filter
- set-membership estimation
Links
DOI: 10.5445/KSP/1000036878Editions