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In: Sborník referátů mezinárodní konference Geodézie a Důlní měřictví 2018 : XXV. konference SDMG, z. s. Plzeň 24.–26. říjen 2018. 2018. ISBN 978-80-248-4226-4.
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Fig. 2 PI and PID controllers 164 The robustness of the tuning methods for ± 25 % changes of time delay Td is shown in Fig. 3 to Fig. 6. Fig. 3 PI and PID controllers
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http://kat354nas3.vsb.cz/iros2018/media/files/0290.pdf
Algorithm 1 shows de-canonicalization, using inputs (ti, Bi)-pairs, minterms(Bi) and dontcares, as described above. In lines 2–9, Subunit X (Figure 6) is used for memory sequences that have a common guard, but Y for those that have different guards for
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Identifying performance boundaries in a testing space is useful not only for better characterization of the performance landscape, but also for providing an estimate
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26] A. Desai, I. Saha, J. Yang, S. Qadeer, and S. A. Seshia, “DRONA: a framework for safe distributed mobile robotics,” in ICCPS, 2017,
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ISBN: 978-3-642-30503-0 (2013) [4] Davendra, D., Zelinka, I., Bialic-Davendra, M., Senkerik, R. and Jasek, R.: Discrete Self-Organising Migrating Algorithm for Flow
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ISBN: 978-3-642-30503-0 (2013) [4] Davendra, D., Zelinka, I., Bialic-Davendra, M., Senkerik, R. and Jasek, R.: Discrete Self-Organising Migrating Algorithm for Flow
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ISBN: 978-3-642-30503-0 (2013) [4] Davendra, D., Zelinka, I., Bialic-Davendra, M., Senkerik, R. and Jasek, R.: Discrete Self-Organising Migrating Algorithm for Flow
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ISBN: 978-3-642-30503-0 (2013) [4] Davendra, D., Zelinka, I., Bialic-Davendra, M., Senkerik, R. and Jasek, R.: Discrete Self-Organising Migrating Algorithm for Flow
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ISBN: 978-3-642-30503-0 (2013) [4] Davendra, D., Zelinka, I., Bialic-Davendra, M., Senkerik, R. and Jasek, R.: Discrete Self-Organising Migrating Algorithm for Flow
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ISBN: 978-3-642-30503-0 (2013) [4] Davendra, D., Zelinka, I., Bialic-Davendra, M., Senkerik, R. and Jasek, R.: Discrete Self-Organising Migrating Algorithm for Flow