Title :
Reconfiguring connected resource distribution systems
Author :
Rosendall, Paul ; Pekala, Michael ; Scheidt, David
Author_Institution :
Appl. Phys. Lab., Johns Hopkins Univ., Laurel, MD, USA
Abstract :
In this paper we consider complex mechanical systems that operate within harsh, uncertain environments where mission success depends critically upon the system´s ability to monitor and maintain its own internal health. In particular, we focus on the problem of reconfiguring a system´s internal resource distribution subsystems in response to one or more damage events. We present a graph-based approach that guarantees the resulting states adhere to a desirable resource segregation constraint. We also provide results using this approach in conjunction with optimization techniques to reconfigure a representative hardware test platform.
Keywords :
graph theory; integer programming; large-scale systems; linear programming; complex mechanical system; connected resource distribution system; graph-based approach; internal resource distribution subsystem; mixed-integer linear programming; network design problem; resource segregation constraint; system reconfiguration; Constraint optimization; Cost function; Electronic mail; Encoding; Mixed integer linear programming; Resource management; Vegetation;
Conference_Titel :
Computational Intelligence in Control and Automation (CICA), 2011 IEEE Symposium on
Conference_Location :
Paris
Print_ISBN :
978-1-4244-9902-1
DOI :
10.1109/CICA.2011.5945745