TY - GEN
T1 - Kronecker summation method and multiple delay systems
AU - Ergenc, Ali Fuat
AU - Olgac, Nejat
AU - Fazelinia, Hassan
PY - 2006
Y1 - 2006
N2 - A new procedure is presented for determining the kernel and the offspring hyperplanes for general LTI dynamics with multiple delays. These hyperplanes, as they are very recently introduced in a concept paper [1], form the basis of the overriding paradigm which is called the "Cluster Treatment of Characteristic Roots (CTCR)". In fact, these two sets of hyperplanes exhaustively represent the locations in the domain of the delays where the system possesses at least one pair of imaginary characteristic roots. To determine these kernel and offspring we use the extraordinary features of "Extended Kronecker Summation" operation in this paper. The end result is that the infinite dimensional problem reduces to a finite dimensional one (and preferably into an eigenvalue problem). Following the procedure described in this paper we are able to shorten the computational time considerably in determining these hyperplanes. We demonstrate these concepts via an example case study which treats a 3-delay system. For this case another perspective, called the "building block", is utilized to display the kernel in 3-D space of the "spectral delays".
AB - A new procedure is presented for determining the kernel and the offspring hyperplanes for general LTI dynamics with multiple delays. These hyperplanes, as they are very recently introduced in a concept paper [1], form the basis of the overriding paradigm which is called the "Cluster Treatment of Characteristic Roots (CTCR)". In fact, these two sets of hyperplanes exhaustively represent the locations in the domain of the delays where the system possesses at least one pair of imaginary characteristic roots. To determine these kernel and offspring we use the extraordinary features of "Extended Kronecker Summation" operation in this paper. The end result is that the infinite dimensional problem reduces to a finite dimensional one (and preferably into an eigenvalue problem). Following the procedure described in this paper we are able to shorten the computational time considerably in determining these hyperplanes. We demonstrate these concepts via an example case study which treats a 3-delay system. For this case another perspective, called the "building block", is utilized to display the kernel in 3-D space of the "spectral delays".
UR - http://www.scopus.com/inward/record.url?scp=39649084634&partnerID=8YFLogxK
U2 - 10.1109/cdc.2006.377120
DO - 10.1109/cdc.2006.377120
M3 - Conference contribution
AN - SCOPUS:39649084634
SN - 1424401712
SN - 9781424401710
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 4417
EP - 4422
BT - Proceedings of the 45th IEEE Conference on Decision and Control 2006, CDC
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 45th IEEE Conference on Decision and Control 2006, CDC
Y2 - 13 December 2006 through 15 December 2006
ER -