Publication:
The Method of Statistical Estimation of the Minimum Number of Tests for Reliable Evaluation of the Robotic Multi-channel Control Systems Quality

Дата
2019
Journal Title
Journal ISSN
Volume Title
Издатель
Научные группы
Организационные подразделения
Организационная единица
Институт интеллектуальных кибернетических систем
Цель ИИКС и стратегия развития - это подготовка кадров, способных противостоять современным угрозам и вызовам, обладающих знаниями и компетенциями в области кибернетики, информационной и финансовой безопасности для решения задач разработки базового программного обеспечения, повышения защищенности критически важных информационных систем и противодействия отмыванию денег, полученных преступным путем, и финансированию терроризма.
Выпуск журнала
Аннотация
© 2019, Springer Nature Switzerland AG. There is a growth in adoption of multi-channel (tactile, voice, gesture, brain-computer interface, etc.) control systems for mobile robots that help to improve its reliability. But, a complex control system requires a large number of tests to determine the quality of operation. Hence, multi-channel control systems are subjects of rigorous testing process for estimation of the number of successful command recognitions and the number of errors. The more tests will be conducted, the more accurate evaluation of the control channel quality will be. However, in most cases, carrying out the tests is expensive and time-consuming. Therefore, it is necessary to determine the minimum number of tests required to evaluate channel control quality with a given significance level. In this paper we propose a technique for determining the minimum required number of tests. Experimental results of evaluating the multichannel control system of the mobile robotic wheelchair using this technique are presented.
Описание
Ключевые слова
Цитирование
The Method of Statistical Estimation of the Minimum Number of Tests for Reliable Evaluation of the Robotic Multi-channel Control Systems Quality / Kudryavtsev,K.Y. [et al.] // Advances in Intelligent Systems and Computing. - 2019. - 848. - P. 203-208. - 10.1007/978-3-319-99316-4_27
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