TY - GEN
T1 - Noise attenuation over additive gaussian channels
AU - Li, Dapeng
AU - Hovakimyan, Naira
N1 - Copyright:
Copyright 2011 Elsevier B.V., All rights reserved.
PY - 2010
Y1 - 2010
N2 - We address the noise attenuation problem for linear time-invariant (LTI) systems in the presence of Gaussian communication channels. A novel Linear Matrix Inequality (LMI) approach is formulated to solve the problem. A simulation example is discussed to verify the proposed solution.
AB - We address the noise attenuation problem for linear time-invariant (LTI) systems in the presence of Gaussian communication channels. A novel Linear Matrix Inequality (LMI) approach is formulated to solve the problem. A simulation example is discussed to verify the proposed solution.
UR - http://www.scopus.com/inward/record.url?scp=79953134602&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79953134602&partnerID=8YFLogxK
U2 - 10.1109/CDC.2010.5717502
DO - 10.1109/CDC.2010.5717502
M3 - Conference contribution
AN - SCOPUS:79953134602
SN - 9781424477456
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 2348
EP - 2353
BT - 2010 49th IEEE Conference on Decision and Control, CDC 2010
T2 - 2010 49th IEEE Conference on Decision and Control, CDC 2010
Y2 - 15 December 2010 through 17 December 2010
ER -