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带有死区模型的严格反馈非线性系统的自适应神经网络控制
引用本文:梅建东,李红春,徐丽仙.带有死区模型的严格反馈非线性系统的自适应神经网络控制[J].扬州职业大学学报,2011,15(3):24-29.
作者姓名:梅建东  李红春  徐丽仙
作者单位:1. 扬州职业大学,江苏扬州,225002
2. 江海职业技术学院,江苏扬州,225101
基金项目:江苏省现代教育技术研究课题
摘    要:基于后推设计方法,Nussbaum函数的性质及积分型李亚普诺夫函数,提出了一种自适应神经网络控制器的设计方案。通过引入示性函数,提出一种简化死区模型,取消了死区模型的倾斜度相等的条件。此外,该方法取消了函数控制增益符号已知和死区模型参数上界、下界已知的条件。理论分析证明了闭环系统是半全局一致终结有界。

关 键 词:死区模型  神经网络控制  自适应控制  后推  Nussbaum函数

The Adaptive Neural Network Control for Strict-Feedback Nonlinear Systems with Unknown Dead-zone Model
MEI Jian-dong,LI Hong-chun,XU Li-xian.The Adaptive Neural Network Control for Strict-Feedback Nonlinear Systems with Unknown Dead-zone Model[J].Journal of Yangzhou Polytechnic College,2011,15(3):24-29.
Authors:MEI Jian-dong  LI Hong-chun  XU Li-xian
Institution:MEI Jian-dong1,LI Hong-chun2,XU Li-xian1(1.Yangzhou Polytechnic College,Yangzhou 225009,2.Jianghai Vocational College,Yangzhou 225101,China)
Abstract:Based on the back-stepping design method, the property of Nussbaum function and integral-type Lyapunov function, a design scheme of adaptive neural network controller is proposed in this article. By introducing characteristic function for the dead-zone model in the systems, a simplified dead-zone model is developed, removing the condition of the equal slope with defined region. In addition, this approach does not require a priori knowledge of the sign of the control gain and the upper bound and lower bound of dead zone model parameter to be known a priori. By theoretical analysis, the closed-loop control system is proved to be semiglobally uniformly ultimately bounded.
Keywords:dead-zone model  neural network control  adaptive control  back-stepping  Nussbaum function
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