SILAS jointly optimizes polynomial ODE vector fields and polynomial Lyapunov functions from data to produce models with provably bounded trajectories via compact absorbing sets.
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3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 3verdicts
UNVERDICTED 3representative citing papers
The observability and controllability Gramians parameterized by sensor and actuator node subsets are determinantal point processes.
Optimizing blended-wing-body aircraft wing half-spans via reachable sets of linear longitudinal dynamics yields up to 30% lower angle-of-attack tracking error on the resulting nonlinear model under reference tracking control.
citing papers explorer
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Data-driven discovery of polynomial ODEs with provably bounded solutions
SILAS jointly optimizes polynomial ODE vector fields and polynomial Lyapunov functions from data to produce models with provably bounded trajectories via compact absorbing sets.
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Connections Between Determinantal Point Processes and Gramians in Control
The observability and controllability Gramians parameterized by sensor and actuator node subsets are determinantal point processes.
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Reachability-Based Design Optimization for Aircraft Maneuverability
Optimizing blended-wing-body aircraft wing half-spans via reachable sets of linear longitudinal dynamics yields up to 30% lower angle-of-attack tracking error on the resulting nonlinear model under reference tracking control.