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» An Introduction to Probabilistic Automata
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ATVA
2009
Springer
149views Hardware» more  ATVA 2009»
14 years 2 months ago
A Decompositional Proof Scheme for Automated Convergence Proofs of Stochastic Hybrid Systems
In this paper, we describe a decompositional approach to convergence proofs for stochastic hybrid systems given as probabilistic hybrid automata. We focus on a concept called “st...
Jens Oehlerking, Oliver E. Theel
AAAI
2006
13 years 9 months ago
DNNF-based Belief State Estimation
As embedded systems grow increasingly complex, there is a pressing need for diagnosing and monitoring capabilities that estimate the system state robustly. This paper is based on ...
Paul Elliott, Brian C. Williams
CORR
2009
Springer
242views Education» more  CORR 2009»
13 years 5 months ago
Adaptive Scheduling of Data Paths using Uppaal Tiga
Abstract. We apply Uppaal Tiga to automatically compute adaptive scheduling strategies for an industrial case study dealing with a state-of-the-art image processing pipeline of a p...
Israa AlAttili, Fred Houben, Georgeta Igna, Steffe...
KI
2009
Springer
14 years 2 months ago
Constraint-Based Integration of Plan Tracking and Prognosis for Autonomous Production
Today’s complex production systems allow to simultaneously build different products following individual production plans. Such plans may fail due to component faults or unfores...
Paul Maier, Martin Sachenbacher, Thomas Rühr,...
GECCO
2005
Springer
134views Optimization» more  GECCO 2005»
14 years 1 months ago
Predicting mining activity with parallel genetic algorithms
We explore several different techniques in our quest to improve the overall model performance of a genetic algorithm calibrated probabilistic cellular automata. We use the Kappa ...
Sam Talaie, Ryan E. Leigh, Sushil J. Louis, Gary L...