Date of this Version
James Weimer, Nicola Bezzo, Miroslav Pajic, George J. Pappas, Oleg Sokolsky, and Insup Lee, "Resilient Parameter-Invariant Control With Application to Vehicle Cruise Control", Lecture Notes in Computer Science: Control of Cyber-Physical Systems 449, 197-216. March 2013. http://dx.doi.org/10.1007/978-3-319-01159-2_11
This work addresses the general problem of resilient control of unknown stochastic linear time-invariant (LTI) systems in the presence of sensor attacks. Motivated by a vehicle cruise control application, this work considers a first order system with multiple measurements, of which a bounded subset may be corrupted. A frequency-domain-designed resilient parameter-invariant controller is introduced that simultaneously minimizes the effect of corrupted sensors, while maintaining a desired closed-loop performance, invariant to unknown model parameters. Simulated results illustrate that the resilient parameter-invariant controller is capable of stabilizing unknown state disturbances and can perform state trajectory tracking.
Lecture Notes in Computer Science: Control of Cyber-Physical Systems
The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-01159-2_11
Date Posted: 06 September 2013
This document has been peer reviewed.