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A single neural network now learns to seamlessly switch between discrete operational modes and set continuous parameters in complex systems, slashing district heating costs by 30%.
SSMs can now be scalably controlled for nonlinear systems thanks to a novel controllability/observability analysis and LMI-based design.
