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Convergence analysis of proportional-derivative -type ILC for linear continuous constant time delay switched systems with observation noise and state uncertainties | ||
Journal of Hyperstructures | ||
دوره 12، شماره 2، 2023، صفحه 351-365 اصل مقاله (326.22 K) | ||
نوع مقاله: Research Paper | ||
شناسه دیجیتال (DOI): 10.22098/jhs.2023.2808 | ||
نویسنده | ||
Omprakash Dewangan* | ||
Indira Gandhi Govt. College Pandaria, Distt.- Kabirdham, Hemchand Yadav Vishwavidyalaya Durg, Chhattisgarh, India | ||
چکیده | ||
This article is concerned with the linear continuous time delay switching system with state uncertainties and observa-tion noise. The goal of this study is to investigate how an internal switching mechanism and the efficacy of a conventional proportional-derivative ILC method is impacted by ambient noise for linear continuous-time switching systems. The findings demonstrate that learning gains and the dynamics of the subsystems, rather than the time-driven switching rule, are primarily responsible for the con-vergence and robustness of the control method.An appropriate selection of learning gains can ensure the control algorithm’s con-vergence and resilience given any arbitrary time-varying switching rule. | ||
کلیدواژهها | ||
Iterative learning control؛ switched system؛ dynamical system؛ time delay؛ bounded state disturbance؛ bounded observation noise | ||
مراجع | ||
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