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Higher-Order Approximation of Exit Functionals in Sampling-Based Stochastic Model Predictive Control

US & West · 23 Sept

arXiv:2609.25257v1 Announce Type: new Abstract: Safety evaluation in sampling-based stochastic model predictive control often requires numerical estimation of exit functionals. The approximation of first-exit times and exit indicators is therefore a key numerical bottleneck, and discretization…

Original headline: Higher-Order Approximation of Exit Functionals in Sampling-Based Stochastic Model Predictive Control

Read the original: arXiv — Systems and Control (eess.SY)

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Higher-Order Approximation of Exit Functionals in Sampling-Based Stochastic Model Predictive Control

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Нобелевскую премию по экономике 2026 года присудили за макроэкономические исследования

A Multi-Agent LLM System for Automated Tuning of Specialized Neural Network Models

Minimum Bounding Sets for N-1-1 Branch Contingencies Under Thermal and Voltage Limits in Linear Network Models