摘要
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.
出处
《华中理工大学学报》
CSCD
北大核心
1995年第5期48-51,共4页
Journal of Huazhong University of Science and Technology
基金
国家自然科学基金
关键词
系统辨识
鲁棒辨识
鲁棒控制
中心估计算法
worstcase system identification
uncertain but bounded errors
robust identifi-cation
robust control