Finite-Time Max-Consensus for Simultaneous Target Interception in Switching Graph Topologies

In this paper, we propose a distributed guidance law for the simultaneous interception of a stationary target. For a group of ‘n’ heterogeneous pursuers, the proposed guidance law establishes the necessary conditions on static graphs that ensure simultaneous target interception, regardless of the initial conditions of the pursuers. Building on these results, we also establish the necessary conditions for achieving simultaneous interception in switching graph topologies as well. The major highlight of the work is that the target interception occurs in finite time for both static and switching graph topologies. We demonstrate all of these results through numerical simulations.

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Publication Details

Journal
IEEE Transactions on Control of Network Systems
Published
2025-05-15
DOI
https://doi.org/10.1109/tcns.2025.3570423
Primary Topic
Energy Efficient Wireless Sensor Networks
Type
article
Field-Weighted Citation Impact
0.00
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article

Finite-Time Max-Consensus for Simultaneous Target Interception in Switching Graph Topologies

Twinkle Tripathy, Kushal Singh, Aditya K. Rao
IEEE Transactions on Control of Network Systems
Energy Efficient Wireless Sensor Networks
article

Finite-Time Max-Consensus for Simultaneous Target Interception in Switching Graph Topologies

Twinkle Tripathy, Kushal Singh, Aditya K. Rao
article en

Abstract

In this paper, we propose a distributed guidance law for the simultaneous interception of a stationary target. For a group of ‘n’ heterogeneous pursuers, the proposed guidance law establishes the necessary conditions on static graphs that ensure simultaneous target interception, regardless of the initial conditions of the pursuers. Building on these results, we also establish the necessary conditions for achieving simultaneous interception in switching graph topologies as well. The major highlight of the work is that the target interception occurs in finite time for both static and switching graph topologies. We demonstrate all of these results through numerical simulations.

IEEE Transactions on Control of Network SystemsVol. 12(3)
Indian Institute of Technology Kanpur (IN)
Openalex Percentile: Top 89%
Energy Efficient Wireless Sensor Networks
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