• 제목/요약/키워드: Non-fragile sampled-data control

검색결과 1건 처리시간 0.016초

비결함 샘플 데이타 제어를 가지는 정적 지연 뉴럴 네트웍의 강인 상태추정 (H State Estimation of Static Delayed Neural Networks with Non-fragile Sampled-data Control)

  • 유아연;이상문
    • 전기학회논문지
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    • 제66권1호
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    • pp.171-178
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    • 2017
  • This paper studies the state estimation problem for static neural networks with time-varying delay. Unlike other studies, the controller scheme, which involves time-varying sampling and uncertainties, is first employed to design the state estimator for delayed static neural networks. Based on Lyapunov functional approach and linear matrix inequality technique, the non-fragile sampled-data estimator is designed such that the resulting estimation error system is globally asymptotically stable with $H_{\infty}$ performance. Finally, the effectiveness of the developed results is demonstrated by a numerical example.