Proves global exponential convergence of PI and feedback linearization Lagrangian flows for non-convex equality-constrained optimization under a manifold-restricted convexity property.
Bullo,Contraction theory for dynamical systems
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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A sampling-based optimization framework computes finite-step invariant ellipsoids for hybrid system return maps with user-specified probabilistic guarantees on invariance.
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Global Convergence of Control-Based Lagrangian Flows for Non-Convex Optimization
Proves global exponential convergence of PI and feedback linearization Lagrangian flows for non-convex equality-constrained optimization under a manifold-restricted convexity property.
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Finite-Step Invariant Sets for Hybrid Systems with Probabilistic Guarantees
A sampling-based optimization framework computes finite-step invariant ellipsoids for hybrid system return maps with user-specified probabilistic guarantees on invariance.