Visible to the public Multi-fidelity Bayesian Optimization for Co-design of Resilient Cyber-Physical Systems

TitleMulti-fidelity Bayesian Optimization for Co-design of Resilient Cyber-Physical Systems
Publication TypeConference Paper
Year of Publication2022
AuthorsVasisht, Soumya, Rahman, Aowabin, Ramachandran, Thiagarajan, Bhattacharya, Arnab, Adetola, Veronica
Conference Name2022 ACM/IEEE 13th International Conference on Cyber-Physical Systems (ICCPS)
KeywordsBayes methods, Bayesian optimization, Biological system modeling, co-design, control systems, CPS, Cyber-Physical Resilience, Cyber-physical systems, Data models, Economics, Probabilistic logic, pubcrawl, resilience, Resiliency
AbstractA 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.
DOI10.1109/ICCPS54341.2022.00040
Citation Keyvasisht_multi-fidelity_2022