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PERCOM
2007
ACM
14 years 8 months ago
Sensor Scheduling for Optimal Observability Using Estimation Entropy
We consider sensor scheduling as the optimal observability problem for partially observable Markov decision processes (POMDP). This model fits to the cases where a Markov process ...
Mohammad Rezaeian
AAAI
1996
13 years 10 months ago
Trajectory Constraints in Qualitative Simulation
We present a method for specifying temporal constraints on trajectories of dynamical systems and enforcing them during qualitative simulation. This capability can be used to focus...
Giorgio Brajnik, Daniel J. Clancy
DATE
2009
IEEE
139views Hardware» more  DATE 2009»
14 years 3 months ago
Reliable mode changes in real-time systems with fixed priority or EDF scheduling
Abstract—Many application domains require adaptive realtime embedded systems that can change their functionality over time. In such systems it is not only necessary to guarantee ...
Nikolay Stoimenov, Simon Perathoner, Lothar Thiele
IJCAI
2001
13 years 10 months ago
Executing Reactive, Model-based Programs through Graph-based Temporal Planning
In the future, webs of unmanned air and space vehicles will act together to robustly perform elaborate missions in uncertain environments. We coordinate these systems by introduci...
Phil Kim, Brian C. Williams, Mark Abramson
ALDT
2009
Springer
142views Algorithms» more  ALDT 2009»
14 years 3 months ago
Finding Best k Policies
Abstract. An optimal probabilistic-planning algorithm solves a problem, usually modeled by a Markov decision process, by finding its optimal policy. In this paper, we study the k ...
Peng Dai, Judy Goldsmith