Name
Title | ||
|---|---|---|
Multi-fidelity Bayesian Optimization for Co-design of Resilient Cyber-Physical Systems |
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 | DOI | Venue |
|---|---|---|
2022 | 10.1109/ICCPS54341.2022.00040 | 2022 ACM/IEEE 13th International Conference on Cyber-Physical Systems (ICCPS) |
Keywords | DocType | ISSN |
Co-design,Cyber-Physical Resilience,Bayesian optimization | Conference | 2375-8317 |
ISBN | Citations | PageRank |
978-1-6654-0968-1 | 0 | 0.34 |
References | Authors | |
2 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Soumya Vasisht | 1 | 0 | 0.34 |
| Aowabin Rahman | 2 | 0 | 0.34 |
| Thiagarajan Ramachandran | 3 | 0 | 0.68 |
| Arnab Bhattacharya | 4 | 0 | 0.34 |
| Veronica Adetola | 5 | 0 | 0.34 |