Resilient Parameter-Invariant Control With Application to Vehicle Cruise Control

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Departmental Papers (CIS)
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CPS Auto
Computer Engineering
Computer Sciences
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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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2013-03-20
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2023-05-17T07:58:13.000
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Workshop on Control of Cyber-Physical Systems, Johns Hopkins University, Baltimore, MD, March 20-21, 2013
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