Exact Prescribed-Time Distributed Optimization for Second-Order Multi-Agent Systems: A Time-Switching Control Strategy

This paper addresses the exact prescribed-time distributed optimization problem (PT-DOP) for second-order multiagent systems (MASs) with a global optimization objective. Some bounded time-varying functions are introduced into controller gains to avoid the numerical implementation problem of unbounded time-varying control gains and ensure that the global optimization objective is reached within a prescribed time. A time-switching centralized optimization controller containing a virtual controller is developed. The exact PT-DOP of the secondorder MASs under the time-switching centralized optimization controller is solved in three phases: [0, T<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Q1</sub>), [<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">T<sub>Q1</sub></i>, <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">T<sub>Q2</sub></i>), and [<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">T<sub>Q2</sub></i>, T). First, the second-order MASs are transformed into a first-order form by the time-switching centralized optimization controller during [0, <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">T<sub>Q1</sub></i>). Next, the transformed first-order MASs based on the virtual controller reach the consensus in their positions at T<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Q2</sub>. Finally, the global optimization objective is exactly solved by the virtual controller during [<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">T<sub>Q2</sub></i>, T). To avoid each agent utilizing the global gradient information of the MASs, a time-switching distributed optimization controller containing a virtual controller is also introduced, and it can guarantee the exact PT-DOP of the MASs. Three numerical simulation examples are provided to confirm the effectiveness of the proposed controllers.

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Publication Details

Journal
IEEE Transactions on Network Science and Engineering
Published
2025-05-26
DOI
https://doi.org/10.1109/tnse.2025.3573733
Citations
3
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
4.46
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article

Exact Prescribed-Time Distributed Optimization for Second-Order Multi-Agent Systems: A Time-Switching Control Strategy

Suna Duan, Xinchun Jia, Xiaobo Chi, Teng Lv et al.
3 citations
IEEE Transactions on Network Science and Engineering
Distributed Control Multi-Agent Systems
4.46
article

Exact Prescribed-Time Distributed Optimization for Second-Order Multi-Agent Systems: A Time-Switching Control Strategy

Suna Duan, Xinchun Jia, Xiaobo Chi, Teng Lv, Hongpeng Li
article en
3 citations

Abstract

This paper addresses the exact prescribed-time distributed optimization problem (PT-DOP) for second-order multiagent systems (MASs) with a global optimization objective. Some bounded time-varying functions are introduced into controller gains to avoid the numerical implementation problem of unbounded time-varying control gains and ensure that the global optimization objective is reached within a prescribed time. A time-switching centralized optimization controller containing a virtual controller is developed. The exact PT-DOP of the secondorder MASs under the time-switching centralized optimization controller is solved in three phases: [0, T<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Q1</sub>), [<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">T<sub>Q1</sub></i>, <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">T<sub>Q2</sub></i>), and [<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">T<sub>Q2</sub></i>, T). First, the second-order MASs are transformed into a first-order form by the time-switching centralized optimization controller during [0, <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">T<sub>Q1</sub></i>). Next, the transformed first-order MASs based on the virtual controller reach the consensus in their positions at T<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Q2</sub>. Finally, the global optimization objective is exactly solved by the virtual controller during [<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">T<sub>Q2</sub></i>, T). To avoid each agent utilizing the global gradient information of the MASs, a time-switching distributed optimization controller containing a virtual controller is also introduced, and it can guarantee the exact PT-DOP of the MASs. Three numerical simulation examples are provided to confirm the effectiveness of the proposed controllers.

IEEE Transactions on Network Science and EngineeringVol. 12(6)
Shanxi University (CN)
Openalex Percentile: Top 6%
Distributed Control Multi-Agent Systems
4.46
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