2021
DOI: 10.1007/978-3-030-92124-8_21
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TACoS: A Tool for MTL Controller Synthesis

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Cited by 5 publications
(16 citation statements)
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“…In our second set of experiments, we took MTL synthesis problems from [13] and adapted them to SafeLTL B formulas. The benchmarks include a conveyor belt (conv-belt), a robot camera (robo-cam), and several parametrized instances of a multiple railroad-crossings controller (rail).…”
Section: Adaption Of Real-time Benchmarksmentioning
confidence: 99%
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“…In our second set of experiments, we took MTL synthesis problems from [13] and adapted them to SafeLTL B formulas. The benchmarks include a conveyor belt (conv-belt), a robot camera (robo-cam), and several parametrized instances of a multiple railroad-crossings controller (rail).…”
Section: Adaption Of Real-time Benchmarksmentioning
confidence: 99%
“…These experiments show that SafeLTL B can express interesting requirements from the real-time domain by appropriate discretization. We did not compare directly to the tool in [13], as the underlying modeling formalism is different, and hence we adapted the benchmarks. However, a superficial comparison of our results to those in [13] shows that our tool compares well (and is in some cases better).…”
Section: Adaption Of Real-time Benchmarksmentioning
confidence: 99%
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“…For future work, we plan to extend our MTL synthesis tool TACOS (Hofmann and Schupp 2021) to GOLOG programs. Additionally, while MTL over infinite words is generally undecidable, it may be interesting to restrict the specification to Safety MTL, which is decidable on infinite words and thus may allow controller synthesis for non-terminating GOLOG programs.…”
Section: Decidabilitymentioning
confidence: 99%