19 citations · 52 across the 12 of their papers we have counts for
12 papers
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…
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…
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…
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…