dc.contributor.author | Rafi, Melvin | |
dc.contributor.author | Steck, James E. | |
dc.contributor.author | Watkins, John Michael | |
dc.date.accessioned | 2017-09-07T18:46:43Z | |
dc.date.available | 2017-09-07T18:46:43Z | |
dc.date.issued | 2017-09 | |
dc.identifier.citation | Melvin Rafi, James E. Steck, and John Watkins. "Kalman-Filter-Based Adaptive Control: Flight Testing on General Aviation Aircraft", Journal of Guidance, Control, and Dynamics, Vol. 40, Special Issue on The Kalman Filter and Its Aerospace Applications (2017), pp. 2307-2315 | en_US |
dc.identifier.issn | 0731-5090 | |
dc.identifier.other | WOS:000408004100015 | |
dc.identifier.uri | http://dx.doi.org/10.2514/1.G002693 | |
dc.identifier.uri | http://hdl.handle.net/10057/14074 | |
dc.description | Click on the DOI link to access the article (may not be free). | en_US |
dc.description.abstract | Sensor noise and turbulence effects have been prevalent issues in control system design. Although a control system may respond well to “clean” input signals and commands in simulation, this may not be the case when a controller is tasked to perform in a practical environment. A sensor measurement from the plant may be distorted with noise, or turbulence effects may alter controller behavior. Across various engineering disciplines, the notion of engineered resilience has received much attention in efforts to design safer and more reliable systems [1,2] capable of tolerating uncertainties and disturbances. | en_US |
dc.description.sponsorship | NASA under award number NNXO9AP20A. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | American Institute of Aeronautics and Astronautics, Inc. | en_US |
dc.relation.ispartofseries | Journal of Guidance, Control, and Dynamics;v.40:no.9 | |
dc.title | Kalman-Filter-Based Adaptive Control: flight testing on general aviation aircraft | en_US |
dc.type | Article | en_US |
dc.rights.holder | Copyright © 2017 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved. | en_US |