引用本文:张承进,亓学广.一般严格反馈型非线性系统的自适应控制[J].控制理论与应用,2006,23(4):621~626.[点击复制]
ZHANG Cheng-jin, QI Xue-guang .Adaptive control of general nonlinear systems in strict feedback form[J].Control Theory and Technology,2006,23(4):621~626.[点击复制]
一般严格反馈型非线性系统的自适应控制
Adaptive control of general nonlinear systems in strict feedback form
摘要点击 2238  全文点击 909  投稿时间：2004-11-08  修订日期：2005-10-21
查看全文  查看/发表评论  下载PDF阅读器
DOI编号  10.7641/j.issn.1000-8152.2006.4.024
  2006,23(4):621-626
中文关键词  严格反馈  非线性系统  自适应控制  模糊神经推断系统  状态观测器
英文关键词  strict feedback  nonlinear systems  adaptive control  neuro-fuzzy inference system  state observer
基金项目  国家自然科学基金资助项目(60474007,50477042); 山东省优秀中青年科学家奖励基金项目(03BS089)．
作者单位
张承进,亓学广 山东大学 控制科学与工程学院,山东 济南250061
山东科技大学 信息与电气工程学院,山东 青岛271019 
中文摘要
      研究一般严格反馈型非线性系统的控制问题．假设系统的对象模型、状态均未知,只有输出是可测的．应用自适应模糊神经推断系统辨识对象模型,状态观测器设计为Luenberger型,控制器由反步控制、变结构控制和3层神经网络直接控制综合而成．理论分析和仿真研究都说明此方案能够有效地控制只有输出可测的一般严格反馈型非线性系统．
英文摘要
      An adaptive control scheme for general nonlinear systems in strict feedback form is addressed in this paper. The strict feedback nonlinear systems are firstly assumed to be with minimum knowledge where only output is measurable. An adaptive neuro-fuzzy inference system is then used to identify the plant. A Luenberger-type observer is also designed to estimate the system states. The controller is a composition of backstepping controller, variable structure controller and three-layer neural networks direct controller. It is proved that the overall control system is capable of controlling a general strict feedback system where system model is unknown. Finally, an example is given to show the effectiveness of the proposed control scheme.