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 modelled as Markov processes. 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.
|Number of pages||18|
|State||Published - Jan 2 2018|
Bibliographical noteFunding Information:
This work was supported in part by the Air Force Office of Scientific Research [grant number FA9550-16-1-0100].
© 2018, © 2018 Taylor & FrancisInforma UK Limited, trading as Taylor & Francis Group.
- Markov processes
- Sensor and actuator attacks; adaptive control
- cyber-physical systems
- stochastic disturbances
- uniform boundedness in probability
ASJC Scopus subject areas
- Computational Mechanics
- Computer Vision and Pattern Recognition
- Computer Graphics and Computer-Aided Design