no code implementations • 23 Aug 2023 • Ni Dang, Tao Shi, Zengjie Zhang, Wanxin Jin, Marion Leibold, Martin Buss
Nevertheless, an important indicator of the driving style, i. e., how an AV reacts to its nearby AVs, is not fully incorporated in the feature design of previous ME-IRL methods.
1 code implementation • 12 Apr 2023 • Zengjie Zhang, Fangzhou Liu, Tong Liu, Jianbin Qiu, Martin Buss
A simulation study on epidemic control shows that the proposed method produces higher estimation precision than the conventional disturbance observer when PE is not satisfied.
no code implementations • 7 Mar 2023 • Zengjie Zhang, Yingwei Du, Tong Liu, Fangzhou Liu, Martin Buss
Thirdly, techniques of incremental support vector machine are applied to develop the recursive algorithm to estimate the system switching manifolds, with its stability proven by a Lynapunov-based method.
no code implementations • 30 Mar 2022 • Tong Liu, Zengjie Zhang, Fangzhou Liu, Martin Buss
These responses depend on the unknown states at switching instants (SASI) and constitute an additive disturbance to the parameter estimation, which obstructs parameter convergence to zero.
no code implementations • 28 Oct 2021 • Cong Li, Fangzhou Liu, Yongchao Wang, Martin Buss
The learning inefficiency of reinforcement learning (RL) from scratch hinders its practical application towards continuous robotic tracking control, especially for high-dimensional robots.
no code implementations • 10 Sep 2021 • Zhehua Zhou, Ozgur S. Oguz, Yi Ren, Marion Leibold, Martin Buss
Safe reinforcement learning aims to learn a control policy while ensuring that neither the system nor the environment gets damaged during the learning process.
no code implementations • 9 Jun 2021 • Cong Li, Zengjie Zhang, Ahmed Nesrin, Qingchen Liu, Fangzhou Liu, Martin Buss
This paper presents an integrated perception and control approach to accomplish safe autonomous navigation in unknown environments.
no code implementations • 4 May 2021 • Cong Li, Yongchao Wang, Fangzhou Liu, Qingchen Liu, Martin Buss
This paper presents a new formulation for model-free robust optimal regulation of continuous-time nonlinear systems.
no code implementations • 4 Mar 2021 • Tong Liu, Martin Buss
We also prove that the Lyapunov function is non-increasing even at the switching instants and thus does not impose extra dwell time constraints.
no code implementations • 10 Jun 2020 • Cong Li, Qingchen Liu, Zhehua Zhou, Martin Buss, Fangzhou Liu
By introducing pseudo controls and risk-sensitive input and state penalty terms, the constrained robust stabilization problem of the original system is converted into an equivalent optimal control problem of an auxiliary system.