It takes the average reader 4 hours and 48 minutes to read State Estimation for Distributed Systems With Stochastic and Set-membership Uncertainties by Benjamin Noack
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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. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.
State Estimation for Distributed Systems With Stochastic and Set-membership Uncertainties by Benjamin Noack is 284 pages long, and a total of 72,136 words.
This makes it 96% the length of the average book. It also has 88% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 6 hours and 34 minutes to read State Estimation for Distributed Systems With Stochastic and Set-membership Uncertainties aloud.
State Estimation for Distributed Systems With Stochastic and Set-membership Uncertainties is suitable for students ages 12 and up.
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