On the Expected Probability of Constraint Violation in Sampled Convex Programs

被引:22
作者
Calafiore, G. C. [1 ]
机构
[1] Politecn Torino, Dipartimento Automat & Informat, I-10129 Turin, Italy
关键词
Sampled convex programs; Scenario optimization; Randomized methods; Robust convex optimization; Probabilistic robustness; Semi-infinite programming; Constraint violation probability; RANDOMIZED SOLUTIONS; DESIGN;
D O I
10.1007/s10957-009-9579-3
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
In this note, we derive an exact expression for the expected probability V of constraint violation in a sampled convex program (see Calafiore and Campi in Math. Program. 102(1): 25-46, 2005; IEEE Trans. Autom. Control 51(5): 742-753, 2006 for definitions and an introduction to this topic): V = expected number of support constraints/1 + number of constraints This result (Theorem 2.1) is obtained using a simple technique based on cardinality count. In the note, we also use a Chernoff bounding technique on the upper tail violation probability expression derived in (Campi and Garatti in SIAM J. Optim. 19(3): 1211-1230, 2008) to obtain one of the tightest available explicit bounds on the sample complexity of sampled convex programs (Proposition 2.1).
引用
收藏
页码:405 / 412
页数:8
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