50 citations · 54 across the 7 of their papers we have counts for
7 papers
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…
Autonomous Platoon Control with Integrated Deep Reinforcement Learning and Dynamic Programming
Tong Liu, Lei Lei, Kan Zheng +1
Deep Reinforcement Learning (DRL) is regarded as a potential method for car-following control and has been mostly studied to support a single following vehicle. However, it is more…
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…
Deep Reinforcement Learning Aided Platoon Control Relying on V2X Information
Lei Lei, Tong Liu, Kan Zheng +1
The impact of Vehicle-to-Everything (V2X) communications on platoon control performance is investigated. Platoon control is essentially a sequential stochastic decision problem (SS…
Model Reference Adaptive Control of Piecewise Affine Systems with State Tracking Performance Guarantees
Tong Liu, Martin Buss
In this paper, we investigate the model reference adaptive control approach for uncertain piecewise affine systems with performance guarantees. The proposed approach ensures the er…
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…