activity
20062025
most citedCurricular Analytics: A Framework for Quantifying the Impact of Curricular Reforms and Pedagogical Innovations

31 citations · 47 across the 12 of their papers we have counts for

collaborators

12 papers

eess.SY2025

Stability Analysis of the Newton-Raphson Controller for a Class of Differentially Flat Systems

Kaicheng Niu, Yorai Wardi, Chaouki T. Abdallah

The Newton-Raphson Controller, established on the output prediction and the Newton-Raphson algorithm, is shown to be effective in a variety of control applications. Although the st…

eess.SY2023

Consensus controller with safety guarantee: an application to the kinematic bicycle model

Kaicheng Niu, Chaouki Abdallah, Mohammad Hayajneh

This paper proposes a consensus controller for multi-agent systems that can guarantee the agents' safety. The controller, built with the idea of output prediction and the Newton-Ra…

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.CY2022★ 1 cited

The Transfer Student Experience: It's A Lot Like Buying a Used Car

Gregory L. Heileman, Chaouki T. Abdallah, Andrew K. Koch

The experience transfer students encounter as they navigate their journeys from community college to university is similar to that of buying a used car. We demonstrate this by show…

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…