| 引用本文: | 侯忠生,王卫红,金尚泰.一类非线性离散系统自适应准滑模控制[J].控制理论与应用,2009,26(5):505~509.[点击复制] |
| HOU Zhong-sheng,WANG Wei-hong,JIN Shang-tai.Adaptive quasi-sliding-mode control for a class of nonlinear discrete-time systems[J].Control Theory and Technology,2009,26(5):505~509.[点击复制] |
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| 一类非线性离散系统自适应准滑模控制 |
| Adaptive quasi-sliding-mode control for a class of nonlinear discrete-time systems |
| 摘要点击 1545 全文点击 1542 投稿时间：2008-05-06 修订日期：2008-08-27 |
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| DOI编号 10.7641/j.issn.1000-8152.2009.5.007 |
| 2009,26(5):505-509 |
| 中文关键词 准滑模控制 无模型自适应控制 动态线性化 神经网络 非线性离散时间系统 |
| 英文关键词 quasi-sliding mode control model-free adaptive control dynamic linearization neural network nonlinear discrete-time systems |
| 基金项目 国家自然科学基金资助项目(60774022); 国家自然科学基金重点资助项目(60834001). |
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| 中文摘要 |
| 针对一般非线性离散时间系统的不确定性和扰动抑制问题, 提出一种新的自适应准滑模控制算法. 算法包括两部分, 其一是基于紧格式动态线性化模型的自适应准滑模控制器设计, 其中动态线性化方法中“伪偏导数”的估计算法仅依赖于系统I/O 实时量测值. 其二是采用径向基神经网络估计器来估计系统的综合不确定性. 理论分析证明了系统的BIBO稳定性. 仿真结果验证了所提算法的有效性. |
| 英文摘要 |
| A new adaptive quasi-sliding-mode control algorithm is proposed to deal with the problems of disturbances and uncertainty in general nonlinear discrete-time systems. The algorithm includes two parts: one is the design of an adaptive quasi-sliding-mode controller based on the tight-format dynamic linearization model, whose linearization parameters, i.e. pseudo-partial derivatives(PPD) are estimated on-line from the I/O(input/output) information of the system; the other is the estimation of the system uncertain part by employing a RBFNN(radical base function neural network)-based predictor. The BIBO(bounded-input bounded-output) stability is also proved through rigorous theoretical analysis. Finally, the simulation results validate the effectiveness of the proposed method. |