Title :
Linear Independency of Interval Vectors and Its Applications to Robust Controllability Tests
Author :
Ahn, Hyo-Sung ; Moore, Kevin L. ; Chen, YangQuan
Author_Institution :
Student Member, IEEE, Center for Self-Organizing and Intelligent Systems (CSOIS), Dept. of Electrical and Computer Engineering, 4160 Old Main Hill, Utah State University, Logan, UT 84322-4160, USA. hyosung@cc.usu.edu, yqchen@ece.usu.edu
Abstract :
In this paper, we define linear dependency and independency of the interval vectors and present an effective method for checking the linear independency of interval vectors. As a possible application of the interval vectors to the robust control problem, the robust controllability and un-controllability problems of uncertain interval system are solved. Through the numerical examples and by comparing with the existing results, the superiority of our new robust controllability test method is presented.
Keywords :
Interval vectors; Linear independency; Robust contrability trollability; Un-controllability; Uncertain systems; Application software; Controllability; Intelligent systems; Robust control; Robust stability; Testing; USA Councils; Uncertain systems; Uncertainty; Vectors; Interval vectors; Linear independency; Robust contrability trollability; Un-controllability; Uncertain systems;
Conference_Titel :
Decision and Control, 2005 and 2005 European Control Conference. CDC-ECC '05. 44th IEEE Conference on
Print_ISBN :
0-7803-9567-0
DOI :
10.1109/CDC.2005.1583468
