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JOURNALS // Izvestiya of Saratov University. Mathematics. Mechanics. Informatics

Izv. Saratov Univ. Math. Mech. Inform., 2021, Volume 21, Issue 3, Pages 390–399 (Mi isu904)

Modeling the reliability of the onboard equipment of a mobile robot
E. V. Larkin, T. A. Akimenko, A. V. Bogomolov

References

1. Tzafestas S. G., Introduction to Mobile Robot Control, Elsevier, 2014, 750 pp.  crossref  scopus
2. Landau I. D., Zito G., Digital Control Systems: Design, Identification and Implementation, Springer-Verlag, London, 2006, 484 pp.  crossref
3. Äström J., Wittenmark B., Computer-Controlled Systems: Theory and Design, Dover Books on Electrical Engineering, Third Edition, Dover Publ., 2011, 576 pp.
4. Rousand M., Reliability of Safety-Critical Systems: Theory and Applications, John Wiley & Sons, 2014, 466 pp.
5. Sánchez-Silva M., Klutke G.-A., Reliability and Life-Cycle Analysis of Deteriorating Systems, Springer Series in Reliability Engineering, Springer International Publishing, Switzerland, 2016, 356 pp.  crossref
6. O'Conner P., Kleyner A., Practical Reliability Engineering, John Willey & Sons, 2012, 512 pp.
7. Koren I., Krishna C., Fault Tolerant Systems, Morgan Kaufmann Publ, San Francisco, CA, 2007, 400 pp.  zmath
8. Dubrova E., Fault-Tolerant Design, Springer-Verlag, New York; Springer Science+Business Media, New York, 2013, 185 pp.  crossref  zmath  scopus
9. Zhang Y., Jiang J., “Bibliographical review on reconfigurable fault-tolerant control systems”, Annual Reviews in Control, 32:2 (2008), 229–252  crossref  scopus
10. Bielecki T. R., Jakubowski J., Nieweglowski M., “Conditional Markov chains: Properties, construction and structured dependence”, Stochastic Processes and their Applications, 127:4 (2017), 1125–1170  crossref  zmath  scopus
11. Ching W. K., Huang X., Ng M. K., Siu T. K., Markov Chains: Models, Algorithms and Applications, International Series in Operations Research & Management Science, 189, Springer Science+Business Media, New York, 2013, 241 pp.  crossref  zmath
12. Howard R. A., Dynamic Probabilistic Systems, v. 1, Dover Books on Mathematics, Markov Models, Dover Publ., 2007, 608 pp.  zmath
13. Howard R. A., Dynamic Probabilistic Systems, v. II, Dover Books on Mathematics, Semi-Markov and Decision Processes, Dover Publ., 2007, 576 pp.  zmath
14. Janssen J., Manca R., Applied Semi-Markov Processes, Springer US, 2006, 310 pp.  crossref  zmath  scopus
15. Larkin E., Ivutin A., Malikov A., “Petri-Markov model of fault-tolerant computer systems”, 2017 4th International Conference on Control, Decision and Information Technologies (CoDIT), 2017, 0416–0420  crossref  scopus
16. Naess A., Leira B. J., Batsevich O., “System reliability analysis by enhanced Monte Carlo simulation”, Structural Safety, 31:5 (2009), 349–355  crossref  scopus
17. Sudret B., “Global sensitivity analysis using polinomial chaos expansion”, Reliability Engineering & System Safety, 93:7 (2009), 964–979  crossref  scopus
18. Zaghami S. A., Gunavan I., Shultmann F., “Exact reliability evaluation of infrastructure networks using draph theory”, Quality and Reliability Engineering International, 36:2 (2020), 498–510  crossref  scopus
19. Finkelstain M., Failure Rate Modelling for Reliability and Risk, Springer Series in Reliability Engineering, Springer, London, 2008, 290 pp.  crossref
20. Ivutin A. N., Larkin E. V., “Simulation of concurrent games”, Bulletin of the South Ural State University. Series: Mathematical Modelling, Programming and Computer Software, 8:2 (2015), 43–54  crossref  zmath  scopus
21. Larkin E. V., Ivutin A. N., ““Soncurrency” in M-L-parallel semi-Markov process”, MATEC Web of Conferences, 108 (2017), 05003  crossref  scopus
22. Petersen P., Linear Algebra, Undergraduate Texts in Mathematics, Springer-Verlag, New York, 2012, 390 pp.  crossref  zmath
23. Bauer H., Probability Theory, de Gruyter Publ, Berlin–New York, 1996, 540 pp.  zmath


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