Title :
Hierarchical optimization in the presence of an intelligent adversary-an H∞ approach
Author :
Ravuri, Muralidhar ; Kao, Chung-Yao ; Megretski, Alexandre
Author_Institution :
Lab. for Inf. & Decision Syst., MIT, Cambridge, MA, USA
Abstract :
We consider the H∞ optimization problem for systems with a hierarchical structure. We propose an iterative algorithm to treat the problem. In each iteration of our algorithm, we need to solve a problem of H∞ optimization feature, but with a much smaller dimension. We also show that the solution of the optimization problem in each iteration can be obtained by solving a set of linear matrix inequalities
Keywords :
H∞ control; H∞ optimisation; command and control systems; decision theory; hierarchical systems; iterative methods; matrix algebra; H∞ optimization; H∞ optimization problem; hierarchical optimization; hierarchical structure; intelligent adversary; iterative algorithm; linear matrix inequalities; Airborne radar; Constraint optimization; Iterative algorithms; Laboratories; Large-scale systems; Linear matrix inequalities; Mathematical model; Military aircraft; Optimization methods; Robust control;
Conference_Titel :
Decision and Control, 2000. Proceedings of the 39th IEEE Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-6638-7
DOI :
10.1109/CDC.2000.912193
