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. © Springer International Publishing Switzerland 2013.
CITATION STYLE
Weimer, J., Bezzo, N., Pajic, M., Pappas, G. J., Sokolsky, O., & Lee, I. (2013). Resilient Parameter-Invariant Control with Application to Vehicle Cruise Control. In Lecture Notes in Control and Information Sciences (Vol. 449 LNCIS, pp. 197–216). Springer Verlag. https://doi.org/10.1007/978-3-319-01159-2_11
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