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: | Book Chapter |
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KIT Scientific Publishing
2014
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Online Access: | Get Fullteks DOAB: description of the publication |
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Get FullteksDOAB: description of the publication
3rd Floor Main Library
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A1234.567 |
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Copy 1 | Available |