面向鲁棒控制的l_1中心估计算法及其误差界

A Robust-Control-Oriented l1 Central Estimating Algorithm and Error Bounds

分析了具有ｌ１误差的线性时不变系统的最不利情况的辨识问题，对系统假设的先验信息是未知系统的脉冲响应函数控制稳定，并且假设实验数据具有有界噪声干扰的一般输入响应样本，提出了中心估计算法，分析了其最不利情况的误差界限，所给算法和辨识结果是面向鲁棒控制的．

The worst-casee identification of a linear time invariant system with an ii error is dis-cussed.The assumed a priori information for the system is the dominant stable impulse re-sponse of the unknown system and the experimental data are assumed to be a finite set of or-dinary input response samples with uncertain but bounded errors,Acentral estimating algo-rithm is proposed and the worst-case error bounds are analyzed.The algorithm given and theidentification results are shown to be robust-control-oriented.