Title :
Nonlinear approximations for the solution of team optimal control problems
Author :
Baglietto, M. ; Parisini, T. ; Zoppoli, R.
Author_Institution :
Genoa Univ., Italy
Abstract :
The method of constraining unknown control functions to take the structures of suitable nonlinear approximators enables one to solve approximately (but at any desired degree of accuracy and without the need of too many parameters to optimize) “difficult” functional optimization problems. The method is tested on Witsenhausen´s (1968) counterexample
Keywords :
decision theory; function approximation; nonlinear programming; optimal control; functional optimization problems; nonlinear approximations; team optimal control problems; unknown control functions; Centralized control; Communication networks; Communication system traffic control; Constraint optimization; Cost function; Fasteners; Large-scale systems; Optimal control; Sufficient conditions; Testing;
Conference_Titel :
Decision and Control, 1997., Proceedings of the 36th IEEE Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-4187-2
DOI :
10.1109/CDC.1997.649703
