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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2401.06245 |
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| _version_ | 1866913193154052096 |
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| author | Ma, Ji Liang, Shu Hong, Yiguang |
| author_facet | Ma, Ji Liang, Shu Hong, Yiguang |
| contents | In this paper, we develop a novel dynamic distributed optimal safe consensus protocol to simultaneously achieve safety requirements and output optimal consensus. Specifically, we construct a distributed projection optimization algorithm with an expanding constraint set in the decision-making layer, while we propose a reference tracking safety controller to ensure that each agent's output remains within a shrinking safety set in the control layer.We also establish the convergence and safety analysis of the closed-loop system using the small-gain theorem and time-varying control barrier function (CBF) theory, respectively. Besides, unlike previous works on distributed optimal consensus, our approach does not require prior knowledge of the local objective or gradient function and adopts a mild assumption on the dynamics of multiagent systems (MASs) by using the transmission zeros condition. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_06245 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Distributed Optimal Output Consensus Control of Heterogeneous Multi-Agent Systems with Safety Constraints Ma, Ji Liang, Shu Hong, Yiguang Optimization and Control In this paper, we develop a novel dynamic distributed optimal safe consensus protocol to simultaneously achieve safety requirements and output optimal consensus. Specifically, we construct a distributed projection optimization algorithm with an expanding constraint set in the decision-making layer, while we propose a reference tracking safety controller to ensure that each agent's output remains within a shrinking safety set in the control layer.We also establish the convergence and safety analysis of the closed-loop system using the small-gain theorem and time-varying control barrier function (CBF) theory, respectively. Besides, unlike previous works on distributed optimal consensus, our approach does not require prior knowledge of the local objective or gradient function and adopts a mild assumption on the dynamics of multiagent systems (MASs) by using the transmission zeros condition. |
| title | Distributed Optimal Output Consensus Control of Heterogeneous Multi-Agent Systems with Safety Constraints |
| topic | Optimization and Control |
| url | https://arxiv.org/abs/2401.06245 |