Design of High-Gain Reduced-Order Observers for Nonlinear Sampled-Data Strict-Feedback Systems with Model Uncertainty
Design of High-Gain Reduced-Order Observers for Nonlinear Sampled-Data Strict-Feedback Systems with Model Uncertainty
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DOI：
10.23919/ecc.2018.8550399
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发表时间：
2018-06
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影响因子：
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通讯作者：
H. Katayama
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文献类型：
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作者：
H. Katayama
针对具有模型不确定性的非线性采样数据严格反馈系统，考虑了高增益降阶观测器的设计。首先在无模型不确定性的采样数据严格反馈系统的降阶观测器上引入一个小的正参数，设计了高增益的降阶观测器。然后证明了存在一个小的正参数，使得所设计的观测器在具有模型不确定性的采样数据严格反馈系统精确模型的采样周期内是半全局的和实用的。通过数值算例验证了所设计观测器的有效性。
Design of high-gain reduced-order observers is considered for the nonlinear sampled-data strict-feedback system with model uncertainty. First high-gain reduced-order observers are designed by introducing a small positive parameter to the reduced-order observers designed for the sampled-data strict-feedback system without model uncertainty. Then it is shown that there exists a small positive parameter such that the designed observers are semiglobal and practical in sampling period for the exact model of the sampled-data strict-feedback system with model uncertainty. A numerical example is given to show the efficiency of the designed observers.