Abstract
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.
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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: Tarraf, D. (eds) Control of Cyber-Physical Systems. Lecture Notes in Control and Information Sciences, vol 449. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-01159-2_11
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DOI: https://doi.org/10.1007/978-3-319-01159-2_11
Publisher Name: Springer, Heidelberg
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