Yu-Hang Li

Adaptive Iterative Learning Control of Multi–Agent Systems Under Iterative Batch Random Missing Faults Based on Neural Networks

Abstract For multi-agent systems with missing iteration batches and randomly varying lengths, a data-driven adaptive iterative learning control strategy based on neural networks is proposed. Considering the situation where the iteration batches of the system vary randomly with the number of iterations, first, an iterat...