Distributionally Robust Optimal and Safe Control of Stochastic Systems via Kernel Conditional Mean Embedding
Author:
Affiliation:
1. Oxford University,Department of Computer Science,UK
2. Indian Institute of Technology,Department of Electrical Engineering,Kharagpur,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10383192/10383193/10383997.pdf?arnumber=10383997
Reference23 articles.
1. Data-driven distributionally robust optimization using the Wasserstein metric: performance guarantees and tractable reformulations
2. Wasserstein Distributionally Robust Stochastic Control: A Data-Driven Approach
3. A dynamic game approach to distributionally robust safety specifications for stochastic systems
4. Probabilistic reachability and safety for controlled discrete time stochastic hybrid systems
5. Verification of discrete time stochastic hybrid systems: A stochastic reach-avoid decision problem
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2. Data-Driven Distributionally Robust Safety Verification Using Barrier Certificates and Conditional Mean Embeddings;2024 American Control Conference (ACC);2024-07-10
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