Compositional Abstraction-based Synthesis for Interconnected Systems: An Approximate Composition Approach
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Abstract (arXiv)
In this paper, we focus on mitigating the computational complexity in abstraction-based controller synthesis for interconnected control systems. To do so, we provide a compositional framework for the construction of abstractions for interconnected systems and a bottom-up controller synthesis scheme. In particular, we propose a notion of approximate composition which makes it possible to compute an abstraction of the global interconnected system from the abstractions (possibly of different types) of its components. Finally, by leveraging our notion of approximate composition, we propose a bottom-up approach for the synthesis of controllers enforcing decomposable safety specifications. The effectiveness of the proposed results is demonstrated using two case studies (viz., DC microgrid and traffic network) by comparing them with different abstraction and controller synthesis schemes.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). First posted on arXiv 5 Feb 2020.
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Citing papers per year: 2021: 1.
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- 2021Symbolic Abstractions From Data: A PAC Learning Approachcited by 6
- 2021Symbolic Abstractions From Data: A PAC Learning Approach28 Apr 2021