Abstract
In this paper, we introduce QUEST, a new tool for automated controller synthesis of incrementally input-to-state stable nonlinear control systems. This tool accepts ordinary differential equations as the descriptions of the nonlinear control systems and constructs their symbolic models using state-space quantization-free approach which can potentially alleviate the issue of so-called curse of dimensionality while computing discrete abstractions of the systems with high-dimensional state-space. The tool supports computation of both minimal and maximal fixed points and thus provides natively algorithms to synthesize controllers enforcing safety and reachability specifications. All the computations are done in C++. Finally, we illustrate the performance of the tool on a 10-room building temperature control. The tool together with user manual and some examples are available for download at www.hcs.ei.tum.de/software.
This work was supported in part by the German Research Foundation (DFG) through the grant ZA 873/1-1 and the TUM International Graduate School of Science and Engineering (IGSSE).
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The authors would like to thank S Sairam Akhil for some of the implementation.
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Jagtap, P., Zamani, M. (2017). QUEST: A Tool for State-Space Quantization-Free Synthesis of Symbolic Controllers. In: Bertrand, N., Bortolussi, L. (eds) Quantitative Evaluation of Systems. QEST 2017. Lecture Notes in Computer Science(), vol 10503. Springer, Cham. https://doi.org/10.1007/978-3-319-66335-7_21
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DOI: https://doi.org/10.1007/978-3-319-66335-7_21
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