TY - GEN
T1 - State-multiplicative Retarded Systems-Robust H2Static Output-feedback Control
AU - Gershon, Eli
AU - Shaked, Uri
N1 - Publisher Copyright:
© 2022 EUCA.
PY - 2022
Y1 - 2022
N2 - The problem of robust static Linear Quadratic Regulation (LQR) problem is solved for uncertain, continuous time, retarded systems with multiplicative noise. A design solution is obtained, based on a descriptor approach, for the uncertain polytopic case where the parameters of the system matrices reside in a given polytope. The latter solution method enables the derivation of the required constant output gain by solving a set of linear matrix inequalities that correspond to the vertices of the uncertainty polytope. The theory developed is extended also to the gain-scheduling case.
AB - The problem of robust static Linear Quadratic Regulation (LQR) problem is solved for uncertain, continuous time, retarded systems with multiplicative noise. A design solution is obtained, based on a descriptor approach, for the uncertain polytopic case where the parameters of the system matrices reside in a given polytope. The latter solution method enables the derivation of the required constant output gain by solving a set of linear matrix inequalities that correspond to the vertices of the uncertainty polytope. The theory developed is extended also to the gain-scheduling case.
KW - Robust control
KW - polytopic uncertainty
KW - static output-feedback
KW - stochastic control
UR - http://www.scopus.com/inward/record.url?scp=85136636850&partnerID=8YFLogxK
U2 - 10.23919/ECC55457.2022.9838215
DO - 10.23919/ECC55457.2022.9838215
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AN - SCOPUS:85136636850
T3 - 2022 European Control Conference, ECC 2022
SP - 1158
EP - 1163
BT - 2022 European Control Conference, ECC 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 European Control Conference, ECC 2022
Y2 - 12 July 2022 through 15 July 2022
ER -