期刊文献+

具有状态约束的随机非线性系统的自适应跟踪控制 预览

Adaptive Tracking Control for Stochastic Nonlinear Systems with Full State Constraints
在线阅读 免费下载
收藏 分享 导出
摘要 对于一类严格反馈的随机非线性系统,本文构造了一个自适应跟踪控制器.在本文中,系统状态被约束在一个紧集内.通过构造一个tan-型的障碍李雅普诺夫函数并且使用backstepping技术,提出了一个自适应控制方案.所提出的控制方案保证了输出误差收敛到零的一个小邻域内,并且闭环系统中的所有信号都是有界的.仿真结果验证了该方法的有效性. In this paper,an adaptive controller is constructed for a class of strict-feedback stochasticnonlinear systems.The states are constrained in the compact set.By constructed a tan-type Barrier Lyapunov Function and using backstepping technique,an adaptive tracking control scheme is proposed.The proposed control scheme guarantee that the output error convergence to a small neighborhood of zero and all the signals in the closed-loop system are bounded.The simulation results illustrate the validity of the proposed method.
作者 张婧 梁兴越 夏建伟 ZHANG Jing;LIANG Xing-yue;XIA Jian-wei(School of Mathematical Sciences,Liaocheng University,Liaocheng 252059,China)
出处 《聊城大学学报:自然科学版》 2019年第2期8-13,共6页 Journal of Liaocheng University:Natural Science Edition
基金 国家自然科学基金项目(61573177,61773191)资助.
关键词 backstepping技术 自适应控制 障碍李雅普诺夫函数 状态约束 backstepping technique adaptive control Barrier Lyapunov Function state constraints.
作者简介 通讯作者:夏建伟,男,汉族,博士,教授,研究方向:系统控制,随机系统鲁棒控制,E-mail;njustxjw@126.com.
  • 相关文献

参考文献3

二级参考文献37

  • 1吴敏,何勇.时滞系统鲁棒控制一自由权矩阵方法[M].北京:科学出版社,2008:1-18,22-48,210-227. 被引量:5
  • 2Xu S,Lam J,Ho D W C. A new LMI condition for delayed dependent asymptotic stability of delayed Hopfied neural networks[J].{H}IEEE Transactions on Circuits and Systems,2006.230-234. 被引量:1
  • 3Park J,Cho H. A delay-dependent asymptotic stability criterion of cellular neural networks with time-varying discrete and distributed delays[J].{H}Chaos Solitons and Fractals,2007.436-442. 被引量:1
  • 4Liao X,Mao X. Stability of stochastic neural networks[J].Neural Parallel and Scientific Computations,1996.205-224. 被引量:1
  • 5Luo M,Zhong S. New delay-distribution-dependent stability analysis for discrete-time stochastic neural networks with randomly timevarying delays[J].{H}NEUROCOMPUTING,2013.30-37. 被引量:1
  • 6Wang Z,Lauria S,Fang J. Exponential stability of uncertain stochastic neural networks and mixed time-delays[J].Chaos Sollitons Fractals,2007.62-72. 被引量:1
  • 7Kwon O,Lee S,Park J. Improved delay-dependent exponential stability for uncertain stochastic neural networks with time-varying delays[J].{H}Physics Letters,2010.1232-1241. 被引量:1
  • 8Zhang B,Xu S,Zong G. Delay-dependent exponential stability for uncertain stochastic Hopfield neural networks with time-varying delays[J].{H}IEEE Transactions on Circuits and Systems,2009.1241-1247. 被引量:1
  • 9Liu X,Jiang N. Robust stability analysis of generalized neural networks with multiple discrete delays and multiple distributed delays[J].{H}NEUROCOMPUTING,2009.1789-1796. 被引量:1
  • 10Wu Y,Wu Y,Chen Y. Mean square exponential stability of uncertain stochastic neural networks with time-vaying delay[J].{H}NEUROCOMPUTING,2009.2379-2384. 被引量:1

共引文献4

投稿分析

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部 意见反馈
新型冠状病毒肺炎防控与诊疗专栏