Abstract
Mobile robots, operated in hard environments, are investigated. It is shown, that in order to ensure the required reliability parameters of the onboard equipment, it should have the fault-tolerance properties. The task of designing fault-tolerant assembles can be properly solved only if there is an adequate model of reliability parameters estimation. A two-stage method of reliability parameters estimation is proposed, in which at the first stage the “lifetime” of one unit in a complex failure-restoration cycle is determined, and at the second stage, the “lifetime” of the fault-tolerant assemble as a whole, is determined. To solve the problem of the second stage “lifetime” density sampling procedure is envisaged. The method of evaluation of the fault-tolerant assembles reliability parameters, with use of discrete model, is worked out.
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References
Tzafestas, S.: Introduction to Mobile Robot Control. Elsevier, Amsterdam (2014)
Landau, I., Zito, G.: Digital Control Systems, Design, Identification and Implementation. Springer, London (2006). https://doi.org/10.1007/978-1-84628-056-6
Aström, J., Wittenmark, B.: Computer Controlled Systems: Theory and Design. Tsing-hua University Press, Prentice Hall (2002)
Rousand, M.: Reliability of Safety-Critical Systems: Theory and Applications. Wiley, Hoboken (2014)
Sánchez-Silva, M., Klutke, G.-A.: Reliability and Life-Cycle Analysis of Deteriorating Systems. Springer, Switzerland (2016). https://doi.org/10.1007/978-3-319-20946-3
O’Conner, P., Kleyner, A.: Practical Reliability Engineering. Willey, Hoboken (2012)
Koren, I., Krishna, M.: Fault Tolerant Systems. Morgan Kaufmann Publishers, San Francisco (2007)
Dubrova, E.: Fault-Tolerant Design. Springer, New York (2013). https://doi.org/10.1007/978-1-4614-2113-9
Zhang, Y., Jiang, J.: Bibliographical review on reconfigurable fault-tolerant control sys-tems. Annu. Rev. Control 2(32), 229–252 (2008)
Bielecki, T.R., Jakubowski, J., Niewęgłowski, M.: Conditional Markov chains: properties, construction and structured dependence. Stoch. Process. Appl. 127(4), 1125–1170 (2017)
Ching, W.K., Huang, X., Ng, M.K., Siu, T.K.: Markov Chains: Models, Algorithms and Applications. International Series in Operations Research & Management Science, vol. 189. Springer, New York (2013). https://doi.org/10.1007/978-1-4614-6312-2
Howard, R.: Dynamic Probabilistic Systems. vol. 1: Markov Models. Vol. II: Semi-Markov and Decision Processes. Courier Corporation (2012)
Janssen, J., Manca, R.: Applied Semi-Markov Processes. Springer, New York (2006). https://doi.org/10.1007/0-387-29548-8
Larkin, E.V., Malikov, A.A., Ivutin, A.N.: Petri-Markov model of fault-tolerant computer systems. In: 2017 4th International Conference on Control, Decision and Information Technologies (CoDIT), pp. 416–420. IEEE (2017)
Ivutin, A.N, Larkin, E.V.: Simulation of concurrent games. Bull. South Ural. State University. Ser. Math. Model. Program. Comput. Software. Chelyabinsk 8(2), 43–54 (2015)
Petersen, P.: Linear Algebra. Springer, New York (2012). https://doi.org/10.1007/978-1-4614-3612-6
Bauer, H.: Probability Theory. Walter de Gruyter, Berlin (1996)
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The research was carried out within the state assignment of the Ministry of Education and Science of Russian Federation (No 2.3121.2017/PCH).
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Larkin, E., Bogomolov, A., Privalov, A. (2019). Discrete Model of Mobile Robot Assemble Fault-Tolerance. In: Ronzhin, A., Rigoll, G., Meshcheryakov, R. (eds) Interactive Collaborative Robotics. ICR 2019. Lecture Notes in Computer Science(), vol 11659. Springer, Cham. https://doi.org/10.1007/978-3-030-26118-4_20
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