A surrogate for parametric nonconvex optimization is constructed as the minimum of convex-monotonic function compositions and solved via parallel convex optimization, with a proof-of-concept on path tracking.
CasADi – A software framework for nonlinear optimization and optimal control
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
years
2026 3verdicts
UNVERDICTED 3representative citing papers
A bi-level game-theoretic optimal control plus reinforcement learning framework enables competitor-aware energy management and pit-stop scheduling that exploits aerodynamic drafting in simulated electric endurance races.
A novel diffusion variant accelerates minimum-time planning for redundant dual-arm robots by replacing gradient-based solving of the nonconvex high-level problem with probabilistic sampling, yielding 35x faster runtime and 34% less path error.
citing papers explorer
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Parametric Nonconvex Optimization via Convex Surrogates
A surrogate for parametric nonconvex optimization is constructed as the minimum of convex-monotonic function compositions and solved via parallel convex optimization, with a proof-of-concept on path tracking.
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Competitor-aware Race Management for Electric Endurance Racing
A bi-level game-theoretic optimal control plus reinforcement learning framework enables competitor-aware energy management and pit-stop scheduling that exploits aerodynamic drafting in simulated electric endurance races.
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Diffusion-Based Optimization for Accelerated Convergence of Redundant Dual-Arm Minimum Time Problems
A novel diffusion variant accelerates minimum-time planning for redundant dual-arm robots by replacing gradient-based solving of the nonconvex high-level problem with probabilistic sampling, yielding 35x faster runtime and 34% less path error.