Algorithms for scheduling of hidden Markov model sensors
2001 (English)In: Proceedings of the IEEE Conference on Decision and Control, Orlando, FL, 2001, Vol. 5, 4818-4819 p.Conference paper (Refereed)
Consider the Hidden Markov model estimation problem where the realization of a single Markov chain is observed by a number of noisy sensors. The sensor scheduling problem for the resulting Hidden Markov model is as follows: Design an optimal algorithm for selecting at each time instant, one of the many sensors to provide the next measurement. Each measurement has an associated measurement cost. The problem is to select an optimal measurement scheduling policy, so as to minimize a cost function of estimation errors and measurement costs.
Place, publisher, year, edition, pages
Orlando, FL, 2001. Vol. 5, 4818-4819 p.
, 40th IEEE Conference on Decision and Control (CDC)
Algorithms, Constraint theory, Markov processes, Mathematical models, Matrix algebra, Scheduling, State space methods, Vectors, Estimation errors, Hidden Markov model sensors, Measurement costs, Sensors
IdentifiersURN: urn:nbn:se:kth:diva-55405OAI: oai:DiVA.org:kth-55405DiVA: diva2:471631
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