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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Superior document:Karlsruhe Series on Intelligent Sensor-Actuator-Systems / Karlsruher Institut für Technologie, Intelligent Sensor-Actuator-Systems Laboratory
:
Year of Publication:2014
Language:English
Series:Karlsruhe Series on Intelligent Sensor-Actuator-Systems / Karlsruher Institut für Technologie, Intelligent Sensor-Actuator-Systems Laboratory
Physical Description:1 electronic resource (XVIII, 257 p. p.)
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spelling Noack, Benjamin auth
State Estimation for Distributed Systems with Stochastic and Set-membership Uncertainties
KIT Scientific Publishing 2014
1 electronic resource (XVIII, 257 p. p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Karlsruhe Series on Intelligent Sensor-Actuator-Systems / Karlsruher Institut für Technologie, Intelligent Sensor-Actuator-Systems Laboratory
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.
English
distributed estimation
Kalman filter
set-membership estimation
Bayesian state estimation
3-7315-0124-4
language English
format eBook
author Noack, Benjamin
spellingShingle Noack, Benjamin
State Estimation for Distributed Systems with Stochastic and Set-membership Uncertainties
Karlsruhe Series on Intelligent Sensor-Actuator-Systems / Karlsruher Institut für Technologie, Intelligent Sensor-Actuator-Systems Laboratory
author_facet Noack, Benjamin
author_variant b n bn
author_sort Noack, Benjamin
title State Estimation for Distributed Systems with Stochastic and Set-membership Uncertainties
title_full State Estimation for Distributed Systems with Stochastic and Set-membership Uncertainties
title_fullStr State Estimation for Distributed Systems with Stochastic and Set-membership Uncertainties
title_full_unstemmed State Estimation for Distributed Systems with Stochastic and Set-membership Uncertainties
title_auth State Estimation for Distributed Systems with Stochastic and Set-membership Uncertainties
title_new State Estimation for Distributed Systems with Stochastic and Set-membership Uncertainties
title_sort state estimation for distributed systems with stochastic and set-membership uncertainties
series Karlsruhe Series on Intelligent Sensor-Actuator-Systems / Karlsruher Institut für Technologie, Intelligent Sensor-Actuator-Systems Laboratory
series2 Karlsruhe Series on Intelligent Sensor-Actuator-Systems / Karlsruher Institut für Technologie, Intelligent Sensor-Actuator-Systems Laboratory
publisher KIT Scientific Publishing
publishDate 2014
physical 1 electronic resource (XVIII, 257 p. p.)
isbn 1000036878
3-7315-0124-4
illustrated Not Illustrated
work_keys_str_mv AT noackbenjamin stateestimationfordistributedsystemswithstochasticandsetmembershipuncertainties
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hierarchy_parent_title Karlsruhe Series on Intelligent Sensor-Actuator-Systems / Karlsruher Institut für Technologie, Intelligent Sensor-Actuator-Systems Laboratory
is_hierarchy_title State Estimation for Distributed Systems with Stochastic and Set-membership Uncertainties
container_title Karlsruhe Series on Intelligent Sensor-Actuator-Systems / Karlsruher Institut für Technologie, Intelligent Sensor-Actuator-Systems Laboratory
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