l2–l∞ Filtering for Multirate Systems Based on Lifted Models
l2–l∞ Filtering for Multirate Systems Based on Lifted Models
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DOI：
10.1007/s00034-008-9058-3
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发表时间：
2008-08
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影响因子：
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通讯作者：
Bo Yu;Yang Shi;Haining Huang
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文献类型：
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作者：
Bo Yu;Yang Shi;Haining Huang
对于输出采样率低于输入更新率的多速率采样数据系统，我们研究了用提升模型进行快速状态估计的2 - l∞滤波问题。在具有非凸约束的线性矩阵不等式框架中处理滤波问题，并采用积约简算法对其进行数值求解。最后，通过仿真算例验证了所提方法的有效性。
For a multirate sample-data system where the output sampling rate is slower than the input updating rate, we study thel2–l∞filtering problems for fast state estimation by using the lifted model. The filtering problem is handled in the framework of linear matrix inequalities (LMIs) with a nonconvex constraint, which is numerically solved by the product reduction algorithm. Finally, the effectiveness of the proposed method is illustrated and verified by simulation examples.