计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2013年
8期
63-66
,共4页
模糊神经网络%混合时滞%滑模控制%同步
模糊神經網絡%混閤時滯%滑模控製%同步
모호신경망락%혼합시체%활모공제%동보
fuzzy neural networks%mixed delays%sliding mode control%synchronization
主要研究一类具有混合时滞的非恒同模糊神经网络的同步控制问题,基于滑模控制技术设计了一个线性反馈控制器,通过构造Lyapunov函数,对同步的充分条件进行了讨论,并给出了相应的理论证明.数值仿真结果证实了该控制器的有效性.
主要研究一類具有混閤時滯的非恆同模糊神經網絡的同步控製問題,基于滑模控製技術設計瞭一箇線性反饋控製器,通過構造Lyapunov函數,對同步的充分條件進行瞭討論,併給齣瞭相應的理論證明.數值倣真結果證實瞭該控製器的有效性.
주요연구일류구유혼합시체적비항동모호신경망락적동보공제문제,기우활모공제기술설계료일개선성반궤공제기,통과구조Lyapunov함수,대동보적충분조건진행료토론,병급출료상응적이론증명.수치방진결과증실료해공제기적유효성.
The synchronization control problem of a class of non-identical fuzzy cellular neural with mixed delays is studied. Based on sliding mode control technique, a linear controller is proposed. By structuring Lyapunov function, the conditions of synchroniza-tion are derived, and they are also proved theoretically. The results of the numerical simulation also prove the validity of the controller.