activity
20212024
most citedDeep transfer learning for system identification using long short-term memory neural networks

3 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SY2024

A Model-Free Optimal Control Method With Fixed Terminal States and Delay

Mi Zhou, Erik Verriest, Chaouki Abdallah

Model-free algorithms are brought into the control system's research with the emergence of reinforcement learning algorithms. However, there are two practical challenges of reinfor…

eess.SY2023

Energy Optimal Control of a Harmonic Oscillator with a State Inequality Constraint

Mi Zhou, Erik I Verriest, Chaouki Abdallah

In this article, the optimal control problem for a harmonic oscillator with an inequality constraint is considered. The applied energy of the oscillator during a fixed final time p…

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…