TY - GEN
T1 - Reduction of H∞ state feedback control problems for the servo systems
AU - Waki, Hayato
AU - Sebe, Noboru
N1 - Funding Information:
ACKNOWLEDGMENTS The first author was supported by JSPS KAKENHI Grant Number 26400203.
PY - 2018/2/7
Y1 - 2018/2/7
N2 - We study the strict feasibility of the linear matrix inequality (LMI) and its dual for H∞ state feedback control problem for the multi-input multi-output (MIMO) servo system. Then we show that weighting functions with unstable zeros improve the numerical accuracy. We discuss the relationship between the zeros in the weighting function and the strict feasibility of the dual LMI. This is closely related to the numerical accuracy of LMI solvers because algorithms implemented in LMI solvers require the strict feasibility for both the LMI and its dual. Furthermore, we provide closed-form expression of the performance limitation when given plants have one or two unstable invariant zeros. The non-strict feasibility of the dual plays an essential role in the expression.
AB - We study the strict feasibility of the linear matrix inequality (LMI) and its dual for H∞ state feedback control problem for the multi-input multi-output (MIMO) servo system. Then we show that weighting functions with unstable zeros improve the numerical accuracy. We discuss the relationship between the zeros in the weighting function and the strict feasibility of the dual LMI. This is closely related to the numerical accuracy of LMI solvers because algorithms implemented in LMI solvers require the strict feasibility for both the LMI and its dual. Furthermore, we provide closed-form expression of the performance limitation when given plants have one or two unstable invariant zeros. The non-strict feasibility of the dual plays an essential role in the expression.
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U2 - 10.1109/ASCC.2017.8287524
DO - 10.1109/ASCC.2017.8287524
M3 - Conference contribution
AN - SCOPUS:85047490350
T3 - 2017 Asian Control Conference, ASCC 2017
SP - 2244
EP - 2249
BT - 2017 Asian Control Conference, ASCC 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 11th Asian Control Conference, ASCC 2017
Y2 - 17 December 2017 through 20 December 2017
ER -