LEARNING
验证门控多智能体治理:面向运行工况转移的热工水力代理模型在线自适应
Doyeong Lim, Seungyoon Lee, In Cheol Bang
- 发表年份
- 2026
- 访问权限
- 开放获取
摘要
该论文提出了一种基于角色分离的多智能体治理框架,用于热工水力代理模型的在线持续自适应,通过监控、诊断、适应、安全审计和编排五个智能体协同工作,在运行工况转移时实现模型的安全更新。实验表明,该框架相比静态部署显著降低了预测误差和预警超标率。
关键词
continual adaptationmulti-agent governancethermal-hydraulic surrogateonline adaptationoperating regime shift
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