Hybrid systems expressed as coalgebras allow all standard Lyapunov stability results plus new conditions for Zeno equilibria to be instances of a single morphism theorem.
Springer, 2003
2 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 2representative citing papers
A physics-informed neural representation is learned from safe data to support distributional hypothesis testing for dynamical instability in stochastic DAE systems without repeated simulations.
citing papers explorer
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Hybrid Systems as Coalgebras: Lyapunov Morphisms for Zeno Stability
Hybrid systems expressed as coalgebras allow all standard Lyapunov stability results plus new conditions for Zeno equilibria to be instances of a single morphism theorem.
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Learning to Test: Physics-Informed Representation for Dynamical Instability Detection
A physics-informed neural representation is learned from safe data to support distributional hypothesis testing for dynamical instability in stochastic DAE systems without repeated simulations.