Search Results for author: Brian D. O. Anderson

Found 10 papers, 1 papers with code

Mode Consensus Algorithms With Finite Convergence Time

no code implementations1 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.

Attribute

Competitive Networked Bivirus SIS spread over Hypergraphs

no code implementations25 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.

Decentralised adaptive-gain control for eliminating epidemic spreading on networks

no code implementations26 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.

Exponential Consensus of Multiple Agents over Dynamic Network Topology: Controllability, Connectivity, and Compactness

no code implementations1 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.

The Domain of Attraction of the Desired Path in Vector-field Guided Path Following

no code implementations28 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.

Cooperative Tuning of Multi-Agent Optimal Control Systems

1 code implementation24 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.

Distributed Optimization

Guiding Vector Fields for Following Occluded Paths

no code implementations25 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.

Collision Avoidance

Topological Analysis of Vector-Field Guided Path Following on Manifolds

no code implementations7 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 $n \ge 3$.

Cooperative constrained motion coordination of networked heterogeneous vehicles

no code implementations17 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.

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