제어로봇시스템학회:학술대회논문집
- 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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- Pages.224-224
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- 2000
Approach to BMI Problems Using Evolution Strategy
- Chung, Tae-Jin (Dept. of Electrical Engineering, Soongsil University) ;
- Chung, Chan-Soo (Dept. of Electrical Engineering, Soongsil University)
- 발행 : 2000.10.01
초록
Biaffine Matrix Inequalities(BIs) are known to give more general and flexible frameworks in control designs than Linear Matrix Inequalities(LMIs). However, BMIs are nonconvex constraints and very difficult to solve. In this paper, BMI problems are solved using Evolution Strategy(ES). Numerous BMI problems are solved to verify performances of ES solver for BMI problems and compared with those of Genetic Algorithms and Branch-and-Cut algorithm.