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20202022
most citedOn the Stability of the Endemic Equilibrium of A Discrete-Time Networked Epidemic Model

4 citations · 5 across the 6 of their papers we have counts for

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eess.SY2022

Adaptive Observer for a Class of Systems with Switched Unknown Parameters Using DREM

Tong Liu, Zengjie Zhang, Fangzhou Liu +1

In this note, we develop an adaptive observer for a class of nonlinear systems with switched unknown parameters to estimate the states and parameters simultaneously. The main chall…

eess.SY2021

Data Generation Method for Learning a Low-dimensional Safe Region in Safe Reinforcement Learning

Zhehua Zhou, Ozgur S. Oguz, Yi Ren +2

Safe reinforcement learning aims to learn a control policy while ensuring that neither the system nor the environment gets damaged during the learning process. For implementing saf…

eess.SY2020

Off Policy Risk Sensitive Reinforcement Learning Based Optimal Tracking Control with Prescribe Performances

C. Li, Y. Wang, F. Liu +1

An off policy reinforcement learning based control strategy is developed for the optimal tracking control problem to achieve the prescribed performance of full states during the le…

eess.SY20201 cited

Interplay Between Homophily-Based Appraisal Dynamics and Influence-Based Opinion Dynamics: Modeling and Analysis

Fangzhou Liu, Shaoxuan Cui, Wenjun Mei +2

In social systems, the evolution of interpersonal appraisals and individual opinions are not independent processes but intertwine with each other. Despite extensive studies on both…

eess.SY20204 cited

On the Stability of the Endemic Equilibrium of A Discrete-Time Networked Epidemic Model

Fangzhou Liu, Shaoxuan Cui, Xianwei Li +1

Networked epidemic models have been widely adopted to describe propagation phenomena. The endemic equilibrium of these models is of great significance in the field of viral marketi…