| 引用本文: | 齐国元,陈增强,袁著祉.非线性系统智能状态估计研究进展与展望[J].控制理论与应用,2003,20(6):813~818.[点击复制] |
| QI Guo-yuan,CHEN Zeng-qiang,YUAN Zhu-zhi.Evolution and prospect of intelligent state estimation for nonlinear system[J].Control Theory and Technology,2003,20(6):813~818.[点击复制] |
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| 非线性系统智能状态估计研究进展与展望 |
| Evolution and prospect of intelligent state estimation for nonlinear system |
| 摘要点击 1515 全文点击 2146 投稿时间：2002-01-18 修订日期：2003-02-11 |
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| DOI编号 |
| 2003,20(6):813-818 |
| 中文关键词 扩展卡尔曼滤波 基于智能方法滤波器 基于智能方法观测器 广义预测滤波(GPF) 非线性系统 |
| 英文关键词 extended Kalman filter intelligent-based filter intelligent-based observer general prospective filter (GPF) nonlinear system |
| 基金项目 国家自然科学基金项目(60174021,60374037); 天津市高等学校科技发展基金项目(020603). |
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| 中文摘要 |
| 综述了近年来基于智能方法的非线性系统滤波器和观测器的设计方法.关于滤波器,一方面介绍了基于智能方法辨识系统模型而设计的间接滤波器,分析了模型偏差修正的重要性;另一方面探讨了基于智能方法设计的直接滤波器的研究进展.关于观测器,重点介绍了基于神经网络的广义Luenberger观测器的设计方法,总结了该观测器稳定性和鲁棒性的理论分析结果,并进一步介绍了适用范围更广的智能自适应鲁棒观测器的设计方法.最后,对非线性估计问题的进一步研究提出了几点展望. |
| 英文摘要 |
| The approaches of designing intelligent-based filters and observers for nonlinear system were summarized. For filters, on the one hand the designed indirect filters were introduced which are based on intelligence method to identify the model of the system and the significance of modification of the model errors was discussed. On the other hand, the evolution of direct filter based on intelligence was analyzed. As for observers, focus was laid on introducing the designing methods for generalized Luenberger observer based on neural networks, and the analytic findings of stability and robustness of the observer were outlined as well. Furthermore, intelligent-based adaptive robust observers were introduced that can be applied in wide range. Finally, some prospects of further research for the nonlinear state estimation were proposed. |
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