Abstract
In this paper, we propose a novel adaptive control architecture for addressing security and safety in cyber-physical systems subject to exogenous disturbances. Specifically, we develop an adaptive controller for time-invariant, state-dependent adversarial sensor and actuator attacks in the face of stochastic exogenous disturbances. We show that the proposed controller guarantees uniform ultimate boundedness of the closed-loop dynamical system in a mean-square sense. We further discuss the practicality of the proposed approach and provide a numerical example involving the lateral directional dynamics of an aircraft to illustrate the efficacy of the proposed adaptive control architecture.
| Original language | English |
|---|---|
| Title of host publication | 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017 |
| Pages | 1380-1385 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781509028733 |
| DOIs | |
| State | Published - Jun 28 2017 |
| Event | 56th IEEE Annual Conference on Decision and Control, CDC 2017 - Melbourne, Australia Duration: Dec 12 2017 → Dec 15 2017 |
Publication series
| Name | 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017 |
|---|---|
| Volume | 2018-January |
Conference
| Conference | 56th IEEE Annual Conference on Decision and Control, CDC 2017 |
|---|---|
| Country/Territory | Australia |
| City | Melbourne |
| Period | 12/12/17 → 12/15/17 |
Bibliographical note
Publisher Copyright:© 2017 IEEE.
Funding
This work was supported in part by the Air Force Office of Scientific Research under Grant FA9550-16-1-0100.
| Funders | Funder number |
|---|---|
| Air Force Office of Scientific Research, United States Air Force | FA9550-16-1-0100 |
| Air Force Office of Scientific Research, United States Air Force |
ASJC Scopus subject areas
- Decision Sciences (miscellaneous)
- Industrial and Manufacturing Engineering
- Control and Optimization
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