Abstract: The low-rank approximation of big data matrices and tensors plays a pivotal role in many modern applications. Recently, the randomized subspace iteration has shown to be a powerful tool in ...

Abstract: This study develops an iterative learning control (ILC)-based trajectory tracking method for multi-agent systems, considering the impact of data packet loss and actuator faults. In this ...