UTS-based foresight optimization of sensor scheduling for low interception risk tracking
DOI10.1002/acs.2417zbMath1337.93103OpenAlexW1588226001MaRDI QIDQ2802041
Publication date: 22 April 2016
Published in: International Journal of Adaptive Control and Signal Processing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/acs.2417
sensor schedulingpartially observable Markov decision processunscented transformationforesight optimizationinterception risk
Filtering in stochastic control theory (93E11) Stochastic scheduling theory in operations research (90B36) Optimal stochastic control (93E20) Markov and semi-Markov decision processes (90C40)
Related Items (1)
Cites Work
- Partially observable Markov decision process approximations for adaptive sensing
- Nonmyopic sensor scheduling and its efficient implementation for target tracking applications
- Structured Threshold Policies for Dynamic Sensor Scheduling—A Partially Observed Markov Decision Process Approach
- Receding Horizon Control
This page was built for publication: UTS-based foresight optimization of sensor scheduling for low interception risk tracking