Convergence analysis of proportional-derivative -type ILC for linear continuous constant time delay switched systems with observation noise and state uncertainties

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 rsquo;s con-vergence and resilience given any arbitrary time-varying switching rule.