Departmental Papers (CIS)
Date of this Version
3-20-2013
Document Type
Conference Paper
Recommended Citation
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
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.
Subject Area
CPS Auto
Publication Source
Lecture Notes in Computer Science: Control of Cyber-Physical Systems
Volume
449
Start Page
197
Last Page
216
DOI
10.1007/978-3-319-01159-2_11
Copyright/Permission Statement
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.
Comments
Workshop on Control of Cyber-Physical Systems, Johns Hopkins University, Baltimore, MD, March 20-21, 2013