Integrated Assignment and Guidance for Distributed Multi-Pursuer-Target Interception

Hong Tao, Hongyan Li, Tao Song*, Defu Lin, Jiao Xu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper investigates the problem of distributed multiple pursuers against multiple evaders. And an integrated assignment and guidance strategy is proposed to address the issue. The proposed approach is composed of two loops, the inner loop for guidance and the outer loop for assignment. A general method for analytically deriving the control expenditure of the inner optimal guidance for each pursuer-evader pair is first studied as the performance index for the assignment loop. Then, by minimizing total guidance expenditure, a distributed method with the constraint of local target information is proposed based on the auction-based consensus assignment to obtain a globally optimal allocation scheme. Since the assignment and guidance loops share a unified merit index, the proposed algorithm is believed to outperform the methods for designing the two loops separately. Numerical simulations are performed to support the analytical findings.

Original languageEnglish
Title of host publication9th 2023 International Conference on Control, Decision and Information Technologies, CoDIT 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2462-2467
Number of pages6
ISBN (Electronic)9798350311402
DOIs
Publication statusPublished - 2023
Event9th International Conference on Control, Decision and Information Technologies, CoDIT 2023 - Rome, Italy
Duration: 3 Jul 20236 Jul 2023

Publication series

Name9th 2023 International Conference on Control, Decision and Information Technologies, CoDIT 2023

Conference

Conference9th International Conference on Control, Decision and Information Technologies, CoDIT 2023
Country/TerritoryItaly
CityRome
Period3/07/236/07/23

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