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Stochastic MPC robust to errors in disturbance statistics

US & West · yesterday

Why it matters

Provides a way to preserve safety guarantees of predictive control when disturbance statistics are inaccurate.

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Original headline: Distributionally Robust Indirect-Feedback Stochastic MPC with Gelbrich Ambiguity Sets

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

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Stochastic MPC robust to errors in disturbance statistics

Why it matters

Relevant to DT products

Related

Роман Венедиктов («Эмерджентные мультиагентные системы»): «Сегодня сам факт использования ИИ стал обычной частью корпоративной ИТ-среды»

Adaptive clustering for robust distributed MPC of coupled multi-agent systems

Neural approximation of NMPC without expert demonstrations