纸为不明确的线性连续时间的系统学习差错察觉过滤器设计的问题。处理参数无常的一个设计过程被建议因为剩余产生,指责的敏感和对骚乱的坚韧性是通过令人满意的一些表演索引在剩余产量上提高的两个。由概括 Kalman-Yakubovich-Popov (GKYP ) 词根的帮助,差错敏感表演索引能直接在给定的频率范围被处理,它避免与存在技术的频率重量联系的近似。基于线性矩阵,不平等(LMI ) 被给获得答案的一个反复的算法。一个数字例子被给说明建议方法的有效性。
The paper studies the problem of fault detection filter design for uncertain linear continuous-time systems.A design procedure dealing with parameter uncertainties is proposed for residual generation,the sensitivity to fault and the robustness against disturbances are both enhanced on residual outputs through satisfying some performance indexes.By the aid of the generalized Kalman-Yakubovich-Popov (GKYP) lemma,the fault sensitivity performance index can be dealt with in the given frequency range directly,which avoids approximations associated with frequency weights of the existing techniques.An iterative algorithm based on linear matrix inequality (LMI) is given to obtain the solutions.A numerical example is given to illustrate the effectiveness of the proposed methods.