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一类非线性时滞系统的自适应动态面控制 被引量：1

Adaptive dynamic surface control of a class of delayed nonlinear systems
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摘要 针对一类具有不确定输入时滞和干扰的非线性系统的跟踪控制问题,提出一种动态面控制、神经网络和自适应控制相结合的控制方案.通过构造一个滤波器和一个虚拟的状态观测器产生辅助信号,并利用神经网络来估计未知的连续函数,证明了系统跟踪误差收敛于一个充分小的紧集. A control scheme combined with dynamic surface control, neural network and adaptive control is proposed for the tracking control problem of a class of nonlinear systems with uncertain input delay and disturbances. A filter and a virtual observer are constructed to produce the auxiliary signal. Neural networks are employed to estimate the unknown continuous ftmctions. The tracking error is proved to ultimately converge to an adequately small compact set.
作者 朱清 盛朗 吕敏虎 李实 高飞
机构地区 东南大学仪器科学与工程学院 扬州大学信息工程学院 江苏中惠医疗科技股份有限公司
出处 《扬州大学学报（自然科学版）》 CAS CSCD 北大核心 2012年第2期56-59,共4页 Journal of Yangzhou University：Natural Science Edition
基金 国家自然科学基金资助项目(61174046 61175111 60904030 60874045 60874030) 江苏省高校自然科学基金资助项目(09KJB510019 10KJB510027) 江苏省博士后科研资助计划项目(1102167C)
关键词 动态面控制 输入时滞 神经网络 自适应控制 dynamic surface control input delay neural network adaptive control
分类号 TP273.2 [自动化与计算机技术—检测技术与自动化装置]
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参考文献10

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二级参考文献11

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共引文献1

同被引文献8

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扬州大学学报（自然科学版）
2012年 第2期

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