activity
20172023
most citedActor-Critic Reinforcement Learning for Control with Stability Guarantee

10 citations · 21 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2023

Chat-PM: A Class of Composite Hybrid Aerial/Terrestrial Precise Manipulator

Yihang Ding, Xiaoyu Ji, Lixian Zhang +3

This paper concentrates on the development of Chat-PM, a class of composite hybrid aerial/terrestrial manipulator, in concern with composite configuration design, dynamics modeling…

eess.SY2020★ 3 cited

Reinforcement Learning Control of Constrained Dynamic Systems with Uniformly Ultimate Boundedness Stability Guarantee

Minghao Han, Yuan Tian, Lixian Zhang +2

Reinforcement learning (RL) is promising for complicated stochastic nonlinear control problems. Without using a mathematical model, an optimal controller can be learned from data e…

cs.RO2020★ 10 cited

Actor-Critic Reinforcement Learning for Control with Stability Guarantee

Minghao Han, Lixian Zhang, Jun Wang +1

Reinforcement Learning (RL) and its integration with deep learning have achieved impressive performance in various robotic control tasks, ranging from motion planning and navigatio…

cs.LG2019★ 8 cited

Model-free Reinforcement Learning with Robust Stability Guarantee

Minghao Han, Yuan Tian, Lixian Zhang +2

Reinforcement learning is showing great potentials in robotics applications, including autonomous driving, robot manipulation and locomotion. However, with complex uncertainties in…

eess.SY2017

Cloud-Aided State Estimation of A Full-Car Semi-Active Suspension System

Lixian Zhang, Xunyuan Yin, Junnan Shen +1

In this work, we investigate a state estimation problem for a full-car semi-active suspension system. To account for the complex calculation and optimization problems, a vehicle-to…