Stochastic Control with Distributionally Robust Constraints for Cyber-Physical Systems Vulnerable to Attacks
Fuente:
arXiv
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| Autori principali: | , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2023
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| _version_ | 1866911957578153984 |
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| author | Venkatesh, Nishanth Dave, Aditya Faros, Ioannis Malikopoulos, Andreas A. |
| author_facet | Venkatesh, Nishanth Dave, Aditya Faros, Ioannis Malikopoulos, Andreas A. |
| contents | In this paper, we investigate the control of a cyber-physical system (CPS) while accounting for its vulnerability to external attacks. We formulate a constrained stochastic problem with a robust constraint to ensure robust operation against potential attacks. We seek to minimize the expected cost subject to a constraint limiting the worst-case expected damage an attacker can impose on the CPS. We present a dynamic programming decomposition to compute the optimal control strategy in this robust-constrained formulation and prove its recursive feasibility. We also illustrate the utility of our results by applying them to a numerical simulation. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2311_03666 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Stochastic Control with Distributionally Robust Constraints for Cyber-Physical Systems Vulnerable to Attacks Venkatesh, Nishanth Dave, Aditya Faros, Ioannis Malikopoulos, Andreas A. Optimization and Control Systems and Control In this paper, we investigate the control of a cyber-physical system (CPS) while accounting for its vulnerability to external attacks. We formulate a constrained stochastic problem with a robust constraint to ensure robust operation against potential attacks. We seek to minimize the expected cost subject to a constraint limiting the worst-case expected damage an attacker can impose on the CPS. We present a dynamic programming decomposition to compute the optimal control strategy in this robust-constrained formulation and prove its recursive feasibility. We also illustrate the utility of our results by applying them to a numerical simulation. |
| title | Stochastic Control with Distributionally Robust Constraints for Cyber-Physical Systems Vulnerable to Attacks |
| topic | Optimization and Control Systems and Control |
| url | https://arxiv.org/abs/2311.03666 |