Conference proceeding
Decentralized Sensor Scheduling
1987 American Control Conference, pp.1676-1681
1987
DOI: 10.23919/ACC.1987.4789582
Abstract
Decentralized observers separately observe and estimate the state trajectory of a stochastic dynamic system. At all times, each observer chooses, based on its past information, to make its current observation using one of a finite number of costly, noisy sensors. The observers do not share observations or estimates, yet the objective is to determine causal sensor scheduling policies, and implicitly estimators, which collectively minimize a performance measure coupling the observers' sensor csts and estimation errors. We show that the observers' -optimal sensor scheduling policies are non-randomized, open-loop policies that can be determined by solving a deterministic optimal control problem when: the stochastic dynamic system is linear and Gaussian, the observers' sensors are linear and perturbed by additive white Gaussian noise, and the performance measure is a quadratic function coupling the observers' sensor costs and estimation errors.
Details
- Title: Subtitle
- Decentralized Sensor Scheduling
- Creators
- Mark S Andersland - University of Michigan–Ann ArborDemosthenis Teneketzis - University of Michigan–Ann Arbor
- Resource Type
- Conference proceeding
- Publication Details
- 1987 American Control Conference, pp.1676-1681
- Publisher
- IEEE
- DOI
- 10.23919/ACC.1987.4789582
- Language
- English
- Date published
- 1987
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9984197917902771
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