TY - JOUR
T1 - Mixed H2/H∞ control under variance constraints
AU - Bambang, Riyanto T.
AU - Shimemura, E.
AU - Uchida, Kenko
PY - 1993
Y1 - 1993
N2 - Dual problems, which we call output and input variance constrained H2/H∞ controls, are considered. In these problems, we seek control-laws that satisfy mixed H2/H∞ performance criteria, under multiple variance constraints on either outputs or inputs of time-invariant multivariable systems. The approach taken is to convert the problems into non-linear programming with both equality and inequality constraints. For both problems, the Kuhn-Tucker optimality condition is employed to obtain a first-order necessary condition for a regular point that minimizes an upper bound on the quadratic performance for the given H∞ constraint. A second-order necessary condition and sufficiency for the strict local minimizer of the upper bound are investigated. Efficient algorithms for synthesizing the desired controllers are proposed.
AB - Dual problems, which we call output and input variance constrained H2/H∞ controls, are considered. In these problems, we seek control-laws that satisfy mixed H2/H∞ performance criteria, under multiple variance constraints on either outputs or inputs of time-invariant multivariable systems. The approach taken is to convert the problems into non-linear programming with both equality and inequality constraints. For both problems, the Kuhn-Tucker optimality condition is employed to obtain a first-order necessary condition for a regular point that minimizes an upper bound on the quadratic performance for the given H∞ constraint. A second-order necessary condition and sufficiency for the strict local minimizer of the upper bound are investigated. Efficient algorithms for synthesizing the desired controllers are proposed.
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U2 - 10.1080/00207729308949610
DO - 10.1080/00207729308949610
M3 - Article
AN - SCOPUS:70349933190
SN - 0020-7721
VL - 24
SP - 1997
EP - 2017
JO - International Journal of Systems Science
JF - International Journal of Systems Science
IS - 11
ER -