UID:
edoccha_9959146154602883
Format:
1 electronic resource (XVIII, 257 p. p.)
ISBN:
1000036878
Series Statement:
Karlsruhe Series on Intelligent Sensor-Actuator-Systems / Karlsruher Institut für Technologie, Intelligent Sensor-Actuator-Systems Laboratory
Content:
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.
Note:
English
Additional Edition:
ISBN 3-7315-0124-4
Language:
English
