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| Decision-making and control co-design for multi-agent systems: a hierarchical design methodology |
| YutaoTang1,HuashuQin2 |
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| (1 School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing 100876, China;2 Key Laboratory of Systems and Control, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China) |
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| 摘要: |
| Decision-making and control are two of the foremost key ingredients in any autonomous intelligent system. Their codesign
has been well-recognized even since the early days of control [1]. Recently, motivated by the wide applications
of physical networked systems in different areas to cooperatively meet some cyber computation/communication
objectives and constraints, there is an urgent need towards an efficient decision-making and control co-design for these
cyber-physical systems. In such designs, we are required to determine distributed rules that can steer these physical plants
to a steady-state corresponding to system-level decisionmaking problems. Nevertheless, the twisted complexities
resulting from different aspects related to optimization, control, and computation become a great challenge to resolve
such problems.... |
| 关键词: |
| DOI：https://doi.org/10.1007/s11768-022-00111-0 |
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| 基金项目:This work was supported by National Natural Science Foundation of China under Grant 61973043. |
|
| Decision-making and control co-design for multi-agent systems: a hierarchical design methodology |
| Yutao Tang1,Huashu Qin2 |
| (1 School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing 100876, China;2 Key Laboratory of Systems and Control, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China) |
| Abstract: |
| Decision-making and control are two of the foremost key ingredients in any autonomous intelligent system. Their codesign
has been well-recognized even since the early days of control [1]. Recently, motivated by the wide applications
of physical networked systems in different areas to cooperatively meet some cyber computation/communication
objectives and constraints, there is an urgent need towards an efficient decision-making and control co-design for these
cyber-physical systems. In such designs, we are required to determine distributed rules that can steer these physical plants
to a steady-state corresponding to system-level decisionmaking problems. Nevertheless, the twisted complexities
resulting from different aspects related to optimization, control, and computation become a great challenge to resolve
such problems.... |
| Key words: |
