PROCEEDINGS OF THE 36TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-5
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1997年
关键词:
D O I:
暂无
中图分类号:
TP [自动化技术、计算机技术];
学科分类号:
0812 ;
摘要:
This paper deals with the H-2 guaranteed cost control problem for uncertain discrete-time linear systems subject to both polyhedral state and control constraints. The convex-bounded parametric uncertainties are studied. Based on the theory of ellipsoidal positively invariant sets, a sufficient condition is obtained for determining a quadratic stabilizing state-feedback gain and an H-2-norm upper bound which hold for all feasible models. A programming approach is proposed which solves at each step a convex optimization problem involving linear matrix inequalities (LMI's).