https://murray.cds.caltech.edu/index.php?action=history&feed=atom&title=A_Risk-Aware_Architecture_for_Resilient_Spacecraft_OperationsA Risk-Aware Architecture for Resilient Spacecraft Operations - Revision history2026-04-14T12:13:44ZRevision history for this page on the wikiMediaWiki 1.41.5https://murray.cds.caltech.edu/index.php?title=A_Risk-Aware_Architecture_for_Resilient_Spacecraft_Operations&diff=19661&oldid=prevMurray: htdb2wiki: creating page for 2014l_mcg+15-ieeeaero.html2016-05-15T06:14:38Z<p>htdb2wiki: creating page for 2014l_mcg+15-ieeeaero.html</p>
<p><b>New page</b></p><div>{{HTDB paper<br />
| authors = Catharine L. R. McGhan, Richard M. Murray, Romain Serra, Michel D. Ingham, Masahiro Ono, Tara Estlin and Brian C. Williams<br />
| title = A Risk-Aware Architecture for Resilient Spacecraft Operations<br />
| source = Submitted, 2015 IEEE Aerospace Conference<br />
| year = 2014<br />
| type = Conference Paper<br />
| funding = KISS RSS<br />
| url = http://www.cds.caltech.edu/~murray/preprints/mcg+15-ieeeaero_s.pdf<br />
| abstract = <br />
In this paper we discuss a resilient, risk-aware software architecture for onboard, real-time autonomous operations that is intended to robustly handle uncertainty in space- craft behavior within hazardous and unconstrained environ- ments, without unnecessarily increasing complexity. This architecture, the Resilient Spacecraft Executive (RSE), serves three main functions: (1) adapting to component failures to allow graceful degradation, (2) accommodating environments, science observations, and spacecraft capabilities that are not fully known in advance, and (3) making risk-aware decisions without waiting for slow ground-based reactions. This RSE is made up of four main parts: deliberative, habitual, and reflexive layers, and a state estimator that interfaces with all three. We use a risk-aware goal-directed executive within the deliberative layer to perform risk-informed planning, to satisfy the mission goals (specified by mission control) within the specified priorities and constraints. Other state-of-the-art algorithms to be integrated into the RSE include correct-by-construction control synthesis and model-based estimation and diagnosis. We demonstrate the feasibility of the architecture in a simple implementation of the RSE for a simulated Mars rover scenario.<br />
| flags = <br />
| filetype = PDF<br />
| filesize = 8.7M<br />
| tag = mcg+15-ieeeaero<br />
| id = 2014l<br />
}}</div>Murray