From LTL and Limit-Deterministic B"uchi Automata to Deterministic Parity Automata
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Abstract (arXiv)
Controller synthesis for general linear temporal logic (LTL) objectives is a challenging task. The standard approach involves translating the LTL objective into a deterministic parity automaton (DPA) by means of the Safra-Piterman construction. One of the challenges is the size of the DPA, which often grows very fast in practice, and can reach double exponential size in the length of the LTL formula. In this paper we describe a single exponential translation from limit-deterministic B"uchi automata (LDBA) to DPA, and show that it can be concatenated with a recent efficient translation from LTL to LDBA to yield a double exponential, enquoteSafraless LTL-to-DPA construction. We also report on an implementation, a comparison with the SPOT library, and performance on several sets of formulas, including instances from the 2016 SyntComp competition.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 21 Jan 2017.
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Citing papers per year: 2021: 2; 2022: 0; 2023: 1; 2024: 0; 2025: 0; 2026: 1.
4 papers.
- 2023Guessing Winning Policies in LTL Synthesis by Semantic Learningcited by 4
- 2021Learning Optimal Strategies for Temporal Tasks in Stochastic Gamescited by 3
- 2021LTL-Constrained Steady-State Policy Synthesiscited by 2
- 2026SemML 2.0: Synthesizing Controllers for LTLcited by 1
- 2026SemML 2.0: Synthesizing Controllers for LTL27 Apr 2026
- 2023Guessing Winning Policies in LTL Synthesis by Semantic Learning24 May 2023
- 2021LTL-Constrained Steady-State Policy Synthesis31 May 2021
- 2021Learning Optimal Strategies for Temporal Tasks in Stochastic Games8 Feb 2021