Distributed Quantized Optimization Design of Continuous-Time Multiagent Systems Over Switching Graphs
This article focuses on the distributed quantized optimization problem of continuous-time multiagent systems (MASs) over switching graphs. By proposing a dynamic encoding-decoding scheme, a distributed protocol via sampled and quantized data is developed, which can obtain an exact optimal solution,...
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| Published in: | IEEE transactions on systems, man, and cybernetics. Systems Vol. 51; no. 11; pp. 7152 - 7163 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
New York
IEEE
01.11.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| ISSN: | 2168-2216, 2168-2232 |
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| Abstract | This article focuses on the distributed quantized optimization problem of continuous-time multiagent systems (MASs) over switching graphs. By proposing a dynamic encoding-decoding scheme, a distributed protocol via sampled and quantized data is developed, which can obtain an exact optimal solution, rather than an approximate optimal solution. Compared with existing works on quantized distributed optimization of MASs, the protocol presented in this article does not require the global information on the communication graph or the initial state. Besides, in this article, the gradients of the cost functions are not required to be bounded functions. A simulation example is finally presented to illustrate the effectiveness of the proposed distributed protocol. |
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| AbstractList | This article focuses on the distributed quantized optimization problem of continuous-time multiagent systems (MASs) over switching graphs. By proposing a dynamic encoding–decoding scheme, a distributed protocol via sampled and quantized data is developed, which can obtain an exact optimal solution, rather than an approximate optimal solution. Compared with existing works on quantized distributed optimization of MASs, the protocol presented in this article does not require the global information on the communication graph or the initial state. Besides, in this article, the gradients of the cost functions are not required to be bounded functions. A simulation example is finally presented to illustrate the effectiveness of the proposed distributed protocol. |
| Author | Chen, Ziqin Ji, Haibo |
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| SubjectTerms | Cost function Design optimization Distributed optimization Graphs Multi-agent systems Multiagent systems multiagent systems (MASs) Optimization Protocols quantization Quantization (signal) Switches Switching switching graphs |
| Title | Distributed Quantized Optimization Design of Continuous-Time Multiagent Systems Over Switching Graphs |
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