弹性网络物理系统协同设计的多保真贝叶斯优化

Soumya Vasisht, Aowabin Rahman, Thiagarajan Ramachandran, Arnab Bhattacharya, V. Adetola
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引用次数: 1

摘要

开发了一个基于仿真的优化框架,用于同时设计系统和控制参数,以满足期望的性能和操作弹性目标。利用来自不同保真度的数据和模型的系统信息,采用严格的概率方法进行协同设计实验。与现有的网络物理系统的顺序设计相比,使用协同设计证明了显著的经济效益和弹性改进。
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Multi-fidelity Bayesian Optimization for Co-design of Resilient Cyber-Physical Systems
A simulation-based optimization framework is developed to con-currently design the system and control parameters to meet de-sired performance and operational resiliency objectives. Leveraging system information from both data and models of varying fideli-ties, a rigorous probabilistic approach is employed for co-design experimentation. Significant economic benefits and resilience im-provements are demonstrated using co-design compared to existing sequential designs for cyber-physical systems.
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