Introduces the ε-gAAS relation for continuous-time systems to enable hierarchical control by tolerating larger mismatches between abstract and concrete models than existing simulation relations.
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A tensor decomposition technique enables scalable correct-by-design control synthesis for stochastic systems, delivering probabilistic guarantees for temporal logic specifications via robust dynamic programming and approximate simulation relations.
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Hierarchical Control for Continuous-time Systems via General Approximate Alternating Simulation Relations
Introduces the ε-gAAS relation for continuous-time systems to enable hierarchical control by tolerating larger mismatches between abstract and concrete models than existing simulation relations.
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Correct-by-Design Control Synthesis of Stochastic Multi-agent Systems: a Robust Tensor-based Solution
A tensor decomposition technique enables scalable correct-by-design control synthesis for stochastic systems, delivering probabilistic guarantees for temporal logic specifications via robust dynamic programming and approximate simulation relations.