Data-driven Abstractions for Verification of Linear Systems
Author:
Affiliation:
1. Faculty of Mechanical, Maritime and Materials Engineering, TU Delft, Delft, The Netherlands
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Control and Optimization,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/7782633/7912304/10159431.pdf?arnumber=10159431
Reference20 articles.
1. On abstraction-based controller design with output feedback
2. Formal Guarantees in Data-Driven Model Identification and Control Synthesis
3. Data-Driven Abstractions With Probabilistic Guarantees for Linear PETC Systems
4. Scenario-Based Set Invariance Verification for Black-Box Nonlinear Systems
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2. Scenario Approach and Conformal Prediction for Verification of Unknown Systems via Data-Driven Abstractions;2024 European Control Conference (ECC);2024-06-25
3. Enhancing Data-Driven Stochastic Control via Bundled Interval MDP;IEEE Control Systems Letters;2024
4. Formal synthesis of controllers for safety-critical autonomous systems: Developments and challenges;Annual Reviews in Control;2024
5. Data-driven Abstractions via Adaptive Refinements and a Kantorovich Metric;2023 62nd IEEE Conference on Decision and Control (CDC);2023-12-13
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