Abstract | ||
---|---|---|
Fault tolerance and safety verification of control systems are essential for the success of autonomous robotic systems. A
control architecture called Mission Data System (MDS), developed at the Jet Propulsion Laboratory, addresses these needs with
a goal-based control approach. In this paper, a software algorithm for converting goal network control systems into linear
hybrid systems is described. The conversion process is a bisimulation; the resulting linear hybrid system can be verified
for safety in the presence of failures using existing symbolic model checkers, and thus the original goal network is verified.
A moderately complex example goal network control system is converted to a linear hybrid system using the automatic conversion
software that is based on the bisimulation and then is verified. |
Year | DOI | Venue |
---|---|---|
2011 | 10.1007/s10703-010-0109-6 | Formal Methods in System Design |
Keywords | Field | DocType |
Verification,Hybrid systems,Model checking,Fault-tolerant control | Model checking,Computer science,Real-time Control System,Jet propulsion,Real-time computing,Fault tolerance,Software,Bisimulation,Control system,Hybrid system,Distributed computing | Journal |
Volume | Issue | ISSN |
38 | 1 | 0925-9856 |
Citations | PageRank | References |
0 | 0.34 | 29 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Julia M. B. Braman | 1 | 2 | 0.73 |
Richard M. Murray | 2 | 12322 | 1223.70 |