Title :
Local convergence analysis of the goal coordination algorithm of hierarchical control
Author_Institution :
University of Illinois, Urbana, Illinois
Abstract :
The goal coordination (interaction balance) method of hierarchical control is analyzed from a numerical analysis point of view. It is found that for fixed stepsize gradient algorithms the fastest possible asymptotic convergence rate is sublinear. It is shown that this difficulty is fundamental to the problem formulation and that acceleration techniques are not likely to be of much value.
Keywords :
Algorithm design and analysis; Convergence of numerical methods; Lagrangian functions; Mathematical programming;
Conference_Titel :
Decision and Control including the Symposium on Adaptive Processes, 1979 18th IEEE Conference on
Conference_Location :
Fort Lauderdale, FL, USA
DOI :
10.1109/CDC.1979.270244