On the iterative learning control for stochastic impulsive differential equations with randomly varying trial lengths

摘要: Abstract In this paper, a new class of stochastic impulsive differential equations involving Bernoulli distribution is introduced. For tracking the random discontinuous trajectory, modified error associated with piecewise continuous variable by zero-order holder defined. sequel, ILC scheme adopting global and local iteration average operators designed too. Sufficient conditions to guarantee convergence are obtained using tools mathematical analysis via an Gronwall inequality. Finally, two illustrative examples presented demonstrate performance effectiveness averaging track trajectory.