3 citations · 17 across the 26 of their papers we have counts for
12 papers · 1 filter
Learning-based Parameterized Barrier Function for Safety-Critical Control of Unknown Systems
Sihua Zhang, Di-Hua Zhai, Xiaobing Dai +3
With the increasing complexity of real-world systems and varying environmental uncertainties, it is difficult to build an accurate dynamic model, which poses challenges especially…
Exponentially Stable Projector-based Control of Lagrangian Systems with Gaussian Processes
Giulio Evangelisti, Cosimo Della Santina, Sandra Hirche
Designing accurate yet robust tracking controllers with tight performance guarantees for Lagrangian systems is challenging due to nonlinear modeling uncertainties and conservative…
Computation-Aware Learning for Stable Control with Gaussian Process
Wenhan Cao, Alexandre Capone, Rishabh Yadav +2
In Gaussian Process (GP) dynamical model learning for robot control, particularly for systems constrained by computational resources like small quadrotors equipped with low-end pro…
Time-Robust Path Planning with Piece-Wise Linear Trajectory for Signal Temporal Logic Specifications
Nhan-Khanh Le, Erfaun Noorani, Sandra Hirche +1
Real-world scenarios are characterized by timing uncertainties, e.g., delays, and disturbances. Algorithms with temporal robustness are crucial in guaranteeing the successful execu…
Decentralized Event-Triggered Online Learning for Safe Consensus of Multi-Agent Systems with Gaussian Process Regression
Xiaobing Dai, Zewen Yang, Mengtian Xu +3
Consensus control in multi-agent systems has received significant attention and practical implementation across various domains. However, managing consensus control under unknown d…
H2 suboptimal containment control of homogeneous and heterogeneous multi-agent systems
Yuan Gao, Junjie Jiao, Zhongkui Li +1
This paper deals with the H2 suboptimal state containment control problem for homogeneous linear multi-agent systems and the H2 suboptimal output containment control problem for he…