[1]袁晓琳,莫立坡.一类分数阶神经网络的自适应H∞同步[J].智能系统学报,2019,14(2):239-245.[doi:10.11992/tis.201709045]
YUAN Xiaolin,MO Lipo.Adaptive H∞ synchronization of a class of fractional-order neural networks[J].CAAI Transactions on Intelligent Systems,2019,14(2):239-245.[doi:10.11992/tis.201709045]
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YUAN Xiaolin,MO Lipo.Adaptive H∞ synchronization of a class of fractional-order neural networks[J].CAAI Transactions on Intelligent Systems,2019,14(2):239-245.[doi:10.11992/tis.201709045]
一类分数阶神经网络的自适应H∞同步
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
14
期数:
2019年第2期
页码:
239-245
栏目:
学术论文—机器学习
出版日期:
2019-03-05
- Title:
- Adaptive H∞ synchronization of a class of fractional-order neural networks
- Keywords:
- fractional-order; neural networks; adaptive; H∞; synchronization; unknown parameters; identification; controller
- 分类号:
- TP18;O193
- 摘要:
- 针对一类不确定分数阶神经网络系统，研究了其自适应H∞同步问题和参数辨识问题。提出了一个新的可以使闭环系统实现H∞同步的自适应控制协议，利用鲁棒控制的方法和Gronwall-Bellma不等式证明了驱动系统和响应系统在该协议下可以实现同步，同时满足H∞性能。通过仿真实验，验证了所设计控制协议的有效性，并且说明了利用该控制协议可以对未知参数进行辨识。
- Abstract:
- This study aims to address the adaptive H∞ synchronization problem and parameter identification problem of a class of uncertain fractional order neural networks. First, an adaptive control law is proposed to make the closed-loop system achieve H∞ synchronization. Second, by using the robust control method and Gronwall-Bellman inequality, it is shown that the drive system and the response system can achieve synchronization under the proposed control law while satisfying the H∞ performance. Finally, by numerical simulations, the effectiveness of the control law is verified, illustrating that the unknown parameters can also be identified using the proposed control law.
- 参考文献/References:
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备注/Memo
收稿日期:2017-10-09。
基金项目:国家自然科学基金项目（61772063）；北京市自然科学基金项目（Z180005）；北京市教委一般项目（KM201910011007）.
作者简介:袁晓琳，女，1994年生，硕士研究生，主要研究方向为复杂系统的分析与控制。;莫立坡，男，1980年生，副教授，博士，主要研究方向为随机系统、多智能体系统的协调控制、智能优化算法。主持多项国家自然科学基金项目。发表学术论文30余篇，其中被SCI、EI检索20余篇。
通讯作者:莫立坡.E-mail:beihangmlp@126.com
更新日期/Last Update:
2019-04-25