Title :
Binary Hypothesis Testing using Structured Adaptive Networks
Author :
Papadakis, Ioannis N.M. ; Thomopoulos, Stelios C A
Author_Institution :
Decision and Control Systems Laboratory, Department of Electrical and Computer Engineering, Pennsylvania State University, University Park, PA 16802
Abstract :
The design of binary hypothesis tests in the absence of any statistical information, based only on a set of available observations is studied. A Structured Adaptive Network (SAN) configuration for the design of such tests based on several criteria of optimality, is presented and certain key asymptotic properties of these criteria are established.
Keywords :
Adaptive control; Adaptive systems; Gold; Light rail systems; Programmable control; Storage area networks; Testing;
Conference_Titel :
American Control Conference, 1992
Conference_Location :
Chicago, IL, USA
Print_ISBN :
0-7803-0210-9
