Simulation-based optimal sensor scheduling with application to observer trajectory planning (original) (raw)
Related papers
2005
Rollout strategy for Hidden Markov Model (HMM)-based dynamic sensor scheduling
2007 IEEE International Conference on Systems, Man and Cybernetics, 2007
Optimal sensor scheduling via classification reduction of policy search (CROPS
On a stochastic algorithm for sensor scheduling
Proceedings of the 16th IFAC World Congress, 2005, 2005
Sensor Scheduling for Optimal Observability Using Estimation Entropy
2007
Approximate stochastic dynamic programming for sensor scheduling to track multiple targets
Digital Signal Processing, 2009
Sensor scheduling for target tracking: A Monte Carlo sampling approach
2006
Restless bandit index policies for dynamic sensor scheduling optimization
Automatica, 2006
Stochastic approximation for optimal observer trajectory planning
2003
Risk-averse sensor planning using distributed policy gradient
2017 American Control Conference (ACC)
Monte Carlo algorithm for trajectory optimization based on Markovian readings
Computational Optimization and Applications, 2012
AIAA Scitech 2019 Forum, 2019
Optimal sensor activation in controlled discrete event systems
2008 47th IEEE Conference on Decision and Control, 2008
IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, 2000
Learning Dynamics and Control of a Stochastic System under Limited Sensing Capabilities
Sensors
Stochastic Sensor Scheduling for Energy Constrained Estimation in Multi-Hop Wireless Sensor Networks
IEEE Transactions on Automatic Control, 2000
Gradient based policy optimization of constrained Markov decision processes
Advances in Statistics, Probability and Actuarial Science, 2012
An incremental sampling-based algorithm for stochastic optimal control
2012 IEEE International Conference on Robotics and Automation, 2012
Simulation-based optimization of Markov decision processes: An empirical process theory approach
Automatica, 2010
Chance-Constrained Motion Planning with Event-Triggered Estimation
arXiv (Cornell University), 2022
Optimal measurement scheduling for state estimation
IEEE Transactions on Aerospace and Electronic Systems, 2000
Monte-Carlo-Based Partially Observable Markov Decision Process Approximations for Adaptive Sensing
1994
On trajectory optimization for active sensing in gaussian process models
Decision and Control, 2009 held jointly …, 2009
Markov Decision Processes with Applications in Wireless Sensor Networks: A Survey
Dinh phan hoang Dinh phan hoang
Optimal policy for scheduling of Gauss-Markov systems
Proceedings of the Seventh …, 2004