Efficient Data-Driven Abstraction of Monotone Systems with Disturbances-Reference-Cited by-同舟云学术

Efficient Data-Driven Abstraction of Monotone Systems with Disturbances

Published:2021 Issue:5 Volume:54 Page:49-54
ISSN:2405-8963
Container-title:IFAC-PapersOnLine
language:en
Short-container-title:IFAC-PapersOnLine

Author:

Makdesi Anas,Girard Antoine,Fribourg Laurent

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference17 articles.

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2. Finite abstraction of mixed monotone systems with discrete and continuous inputs;Coogan;Nonlinear Analysis: Hybrid Systems,2017

3. Controller synthesis for safety and reachability via approximate bisimulation;Girard;Automatica,2012

4. Hashimoto, K., Saoud, A., Kishida, M., Ushio, T., and Di-marogonas, D. (2020). Learning-based safe symbolic abstractions for nonlinear control systems. arXiv preprint arXiv:2004.01879.

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