| Multi-fidelity Bayesian Optimization for Co-design of Resilient Cyber-Physical Systems | |
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| Author | |
| Abstract |
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. |
| Year of Publication |
2022
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| Conference Name |
2022 ACM/IEEE 13th International Conference on Cyber-Physical Systems (ICCPS)
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| Google Scholar | BibTeX | |