Title :
Propagation of conic model uncertainty in hierarchical systems
Author :
Safonov, Michael G.
Author_Institution :
Department of Electrical Engineering-Systems, University of Southern California, University Park, Los Angeles, CA 90089-0272
Abstract :
Conic sectors are used for analysis of stability and modeling uncertainty propagation in interconnected systems with a hierarchical structure. For large systems that can be readily decomposed into sparsely interconnected groups subsystems, sub-subsystems, sub-sub-subsystems, etc., analysis is greatly facilitated: formulas for conic uncertainty propagation and stability analysis are applied successively to the various groups, beginning at the bottom of the hierarchy and moving up one level at a time. At each level of the hierarchy the results both test stability and yield tight cone bounds on the modeling uncertainty in terms of the cone parameters at the level immediately below.
Keywords :
Analytical models; Computational modeling; Hierarchical systems; Interconnected systems; Mathematical model; Stability analysis; Uncertainty;
Journal_Title :
Systems, Man and Cybernetics, IEEE Transactions on
DOI :
10.1109/TSMC.1983.6313137