no code implementations • 1 Mar 2024 • Chao Huang, Hyungbo Shim, Siliang Yu, Brian D. O. Anderson
This paper studies the distributed mode consensus problem in a multi-agent system, in which the agents each possess a certain attribute and they aim to agree upon the mode (the most frequent attribute owned by the agents) via distributed computation.
no code implementations • 25 Sep 2023 • Sebin Gracy, Brian D. O. Anderson, Mengbin Ye, Cesar A. Uribe
The paper deals with the spread of two competing viruses over a network of population nodes, accounting for pairwise interactions and higher-order interactions (HOI) within and between the population nodes.
no code implementations • 26 May 2023 • Liam Walsh, Mengbin Ye, Brian D. O. Anderson, Zhiyong Sun
We first identify a necessary and sufficient condition for the existence of a subset of nodes, which if controlled would result in the elimination of the disease.
no code implementations • 29 Mar 2023 • Sebin Gracy, Mengbin Ye, Brian D. O. Anderson, Cesar A. Uribe
We also identify sufficient conditions for the existence of a 2-coexistence (resp.
no code implementations • 1 Mar 2023 • Qichao Ma, Jiahu Qin, Brian D. O. Anderson, Long Wang
Based on this notion, it is shown that by designing a proper feedback matrix and under the precompactness assumption, exponential consensus can be reached globally and uniformly if the joint $(\delta, T)$-connectivity and controllability conditions are satisfied, and the synchronization index is not less than one.
no code implementations • 28 Jan 2023 • Weijia Yao, Bohuan Lin, Brian D. O. Anderson, Ming Cao
In the vector-field guided path-following problem, a sufficiently smooth vector field is designed such that its integral curves converge to and move along a one-dimensional geometric desired path.
1 code implementation • 24 Sep 2022 • Zehui Lu, Wanxin Jin, Shaoshuai Mou, Brian D. O. Anderson
Different from classical techniques for tuning parameters in a controller, we allow tunable parameters appearing in both the system dynamics and the objective functions of each agent.
no code implementations • 25 May 2022 • Weijia Yao, Bohuan Lin, Brian D. O. Anderson, Ming Cao
Accurately following a geometric desired path in a two-dimensional space is a fundamental task for many engineering systems, in particular mobile robots.
no code implementations • 7 Feb 2022 • Weijia Yao, Bohuan Lin, Brian D. O. Anderson, Ming Cao
Furthermore, we show that there always exist \emph{non-path-converging trajectories} (i. e., trajectories that do not converge to the desired path) starting from the boundary of a ball containing the desired path in an $n$-dimensional Euclidean space where $n \ge 3$.
no code implementations • 17 Jan 2022 • Zhiyong Sun, Marcus Greiff, Anders Robertsson, Rolf Johansson, Brian D. O. Anderson
We develop a general framework involving differential-algebraic equations and viability theory to determine coordination feasibility for a coordinated motion control under heterogeneous vehicle dynamics and different types of coordination task constraints.