Resilient Adaptive Control with Application to Vehicle Cruise Control

نویسندگان

  • James Weimer
  • Nicola Bezzo
  • Miroslav Pajic
  • George Pappas
  • Oleg Sokolsky
  • Insup Lee
چکیده

Abstract. This work address 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 adaptive 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 with a lag.

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تاریخ انتشار 2013