| 基于滑模PID神经网络控制的混沌同步 |
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| 引用本文： | 杨文光,高艳辉,隋丽丽.基于滑模PID神经网络控制的混沌同步[J].安徽大学学报(自然科学版),2017,41(2). |
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| 作者姓名： | 杨文光 高艳辉 隋丽丽 |
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| 作者单位： | 华北科技学院基础部,北京101601;北京航空航天大学自动化科学与电气工程学院,北京100191;华北科技学院基础部,北京,101601 |
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| 基金项目： | 中央高校基本科研业务费资助项目，华北科技学院重点学科基金资助项目，国家级大学生创新训练计划基金资助项目 |
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| 摘 要： | 对于多输入多输出(multiple inputs multiple outputs,简称MIMO)混沌系统的同步问题,设计了基于误差比例-积分-微分(proportional integral derivative,简称PID)改进下的滑模径向基函数神经网络(radial basis function,简称RBF)控制方法,实现了主从统一混沌系统的同步.设计自适应RBF滑模控制器,将其用于初值不同的不确定主从统一混沌系统的同步控制中,证明了控制的Lyapunov稳定性.最后结合MATLAB仿真实验验证了所提方法的可行性与有效性.
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| 关 键 词： | 统一混沌系统 同步 PID 滑模控制 RBF |
Synchronization chaotic system based on siding PID mode control and RBF neural networks |
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| YANG Wenguang,GAO Yanhui,SUI Lili.Synchronization chaotic system based on siding PID mode control and RBF neural networks[J].Journal of Anhui University(Natural Sciences),2017,41(2). |
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| Authors: | YANG Wenguang GAO Yanhui SUI Lili |
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| Abstract: | For the synchronization of multiple inputs multiple outputs (MIMO) chaotic systems,a sliding mode radial basis function neural network (RBF) control method based on error proportional integral derivative (PID) control was proposed,and the synchronization of master-slave unified chaotic system with the same and different structure was received.An adaptive RBF sliding mode controller was designed,which was used for the synchronization control of uncertain master-slave unified chaotic systems with different initial values,and the Lyapunov stability of the control was proved.Finally,the feasibility and effcctiveness of the proposed method was verified by MATLAB simulation. |
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| Keywords: | unified chaotic system synchronization PID sliding control RBF |
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