RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      검색결과 좁혀 보기

      선택해제

      오늘 본 자료

      • 오늘 본 자료가 없습니다.
      더보기
      • 무료
      • 기관 내 무료
      • 유료
      • KCI등재

        Observer-based H∞ Control for Synchronization in Delayed Neural Networks Under Multiple Disturbances

        Ting Wang,Jifeng Ge,Tao Li,Xin Chen,Shumin Fei 제어·로봇·시스템학회 2020 International Journal of Control, Automation, and Vol.18 No.12

        In this paper, the problem on master-slave synchronization is investigated for a class of delayed neural networks (DNNs) subject to multiple variable disturbances, where the synchronization can be widely utilized in many engineering fields such as teleoperation control, secure communication, and so on. Initially, the unknown disturbances are assumed to be generated by two external systems, in which the additional ones are required to belong to the space of L2[0,+∞). Then based on disturbance-observer-based-control method, H∞ control technique, and composite controller, a sufficient condition on designing the observer gains and controller ones are established to ensure that the overall closed-loop system is asymptotically stable with H∞ control performance. Furthermore, by using matrix transformation technique, the derived condition is converted into the linear matrix inequality (LMI)forms, which can be easily checked and present much less conservatism. Finally, some simulations and comparisons in an example are given to illustrate the effectiveness of our control methods.

      연관 검색어 추천

      이 검색어로 많이 본 자료

      활용도 높은 자료

      해외이동버튼