most citedDeep transfer learning for system identification using long short-term memory neural networks

3 citations · 4 across the 3 of their papers we have counts for

collaborators

3 papers

math.OC2022

Jump Law of Co-State in Optimal Control for State-Dependent Switched Systems and Applications

Mi Zhou, Erik I. Verriest, Yue Guan +1

This paper presents the jump law of co-states in optimal control for state-dependent switched systems. The number of switches and the switching modes are assumed to be known a prio…

eess.SY2022★ 3 cited

Deep transfer learning for system identification using long short-term memory neural networks

Kaicheng Niu, Mi Zhou, Chaouki T. Abdallah +1

Recurrent neural networks (RNNs) have many advantages over more traditional system identification techniques. They may be applied to linear and nonlinear systems, and they require…

cs.LG2021★ 1 cited

The Effect of Training Parameters and Mechanisms on Decentralized Federated Learning based on MNIST Dataset

Zhuofan Zhang, Mi Zhou, Kaicheng Niu +1

Federated Learning is an algorithm suited for training models on decentralized data, but the requirement of a central "server" node is a bottleneck. In this document, we first intr…