18 citations · 31 across the 14 of their papers we have counts for
14 papers
Coevolution of Opinion Dynamics and Recommendation System: Modeling, Analysis and Reinforcement Learning Based Manipulation
Yuhong Chen, Xiaobing Dai, Martin Buss +1
In this work, we develop an analytical framework that integrates opinion dynamics with a recommendation system. By incorporating elements such as collaborative filtering, we provid…
Distributed Coverage Control of Constrained Constant-Speed Unicycle Multi-Agent Systems
Qingchen Liu, Zengjie Zhang, Nhan Khanh Le +3
This paper proposes a novel distributed coverage controller for a multi-agent system with constant-speed unicycle robots (CSUR). The work is motivated by the limitation of the conv…
A Persistent-Excitation-Free Method for System Disturbance Estimation Using Concurrent Learning
Zengjie Zhang, Fangzhou Liu, Tong Liu +2
Observer-based methods are widely used to estimate the disturbances of different dynamic systems. However, a drawback of the conventional disturbance observers is that they all ass…
Simultaneous Recursive Identification of Parameters and Switching Manifolds Identification of Discrete-Time Switched Linear Systems
Zengjie Zhang, Yingwei Du, Tong Liu +2
A novel procedure for the online identification of a class of discrete-time switched linear systems, which simultaneously estimates the parameters and switching manifolds of the sy…
Discrete-time Layered-network Epidemics Model with Time-varying Transition Rates and Multiple Resources
Shaoxuan Cui, Fangzhou Liu, Hildeberto Jardón-Kojakhmetov +1
This paper studies a discrete-time time-varying multi-layer networked SIWS (susceptible-infected-water-susceptible) model with multiple resources under both single-virus and compet…
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…
Data Informed Residual Reinforcement Learning for High-Dimensional Robotic Tracking Control
Cong Li, Fangzhou Liu, Yongchao Wang +1
The learning inefficiency of reinforcement learning (RL) from scratch hinders its practical application towards continuous robotic tracking control, especially for high-dimensional…
Safe Feedback Motion Planning in Unknown Environments: An Instantaneous Local Control Barrier Function Approach
Cong Li, Zengjie Zhang, Ahmed Nesrin +3
Mobile robots are desired with resilience to safely interact with prior-unknown environments and finally accomplish given tasks. This paper utilizes instantaneous local sensory dat…
Model-Free Incremental Adaptive Dynamic Programming Based Approximate Robust Optimal Regulation
Cong Li, Yongchao Wang, Fangzhou Liu +2
This paper presents a new formulation for model-free robust optimal regulation of continuous-time nonlinear systems. The proposed reinforcement learning based approach, referred to…
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…
Distributed Link Removal Strategy for Networked Meta-Population Epidemics and its Application to the Control of the COVID-19 Pandemic
Fangzhou Liu, Yuhong Chen, Tong Liu +3
In this paper, we investigate the distributed link removal strategy for networked meta-population epidemics. In particular, a deterministic networked susceptible-infected-recovered…
Off-Policy Risk-Sensitive Reinforcement Learning Based Constrained Robust Optimal Control
Cong Li, Qingchen Liu, Zhehua Zhou +2
This paper proposes an off-policy risk-sensitive reinforcement learning based control framework for stabilization of a continuous-time nonlinear system that subjects to additive di…
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…
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…