Title :
Robustness of autoregressive systems
Author :
Ravi, M.S. ; Rosenthal, Joachim ; Wang, Xiaochang
Author_Institution :
Dept. of Math., East Carolina Univ., Greenville, NC, USA
Abstract :
The authors give a quantitative basis for the intuitive principle that “small perturbations” in the parameters of a system do not affect its stability. The authors also indicate a method of defining a metric on the space of all autoregressive systems of McMillan degree at most n
Keywords :
matrix algebra; polynomials; stability; stochastic processes; time series; McMillan degree; autoregressive systems; robustness; small perturbations; stability; Art; Closed loop systems; Computational Intelligence Society; Educational institutions; Mathematics; Polynomials; Robustness; Stability; Upper bound;
Conference_Titel :
Decision and Control, 1993., Proceedings of the 32nd IEEE Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-1298-8
DOI :
10.1109/CDC.1993.325723
