Stability Results for a Class of Difference Systems with Delay
Author(s) -
Éva Kaslik
Publication year - 2009
Publication title -
advances in difference equations
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.67
H-Index - 51
eISSN - 1687-1847
pISSN - 1687-1839
DOI - 10.1155/2009/938492
Subject(s) - mathematics , class (philosophy) , stability (learning theory) , ordinary differential equation , partial differential equation , delay differential equation , control theory (sociology) , mathematical analysis , differential equation , computer science , artificial intelligence , control (management) , machine learning
Considering the linear delay difference system x(n+1)=ax(n)+Bx(n-k), where a∈(0,1), B is a p×p real matrix, and k is a positive integer, the stability domain of the null solution is completely characterized in terms of the eigenvalues of the matrix B. It is also shown that the stability domain becomes smaller as the delay increases. These results may be successfully applied in the stability analysis of a large class of nonlinear difference systems, including discrete-time Hopfield neural networks
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