A new abstraction model, odIMDP, stores transition probabilities as products of per-dimension interval bounds, cutting memory and conservatism in stochastic controller synthesis.
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Scalable control synthesis for stochastic systems via structural IMDP abstractions
A new abstraction model, odIMDP, stores transition probabilities as products of per-dimension interval bounds, cutting memory and conservatism in stochastic controller synthesis.