Transactions on Control, Automation and Systems Engineering

제어로봇시스템학회 (Institute of Control, Robotics and Systems)
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Robust H(sup)$\infty$ FIR Sampled-Data Filtering for Uncertain Time-Varying Systems with Lipschitz Nonlinearity

  • Ryu, Hee-Seob (School of Electrical and Computer Engineering, Inha University) ;
  • Yoo, Kyung-Sang (Dept. of Electrical Engineering, Doowon Tech. College) ;
  • Kwon, Oh-Kyu (School of Electrical and Computer Engineering, Inha University)
  • 발행 : 2000.12.01
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초록

This paper presents the results of the robust H(sub)$\infty$ FIR filtering for a class of nonlinear continuous time-varying systems subject to real norm-bounded parameter uncertainty and know Lipschitz nonlinearity under sampled measurements. We address the problem of designing filters, using sampled measurements, which guarantee a prescribed H(sub)$\infty$ performance in continuous time-varying context, irrespective of the parameter uncertainty and unknown initial states. The infinite horizon causal H(sub)$\infty$FIR filter are investigated using the finite moving horizon in terms of two Riccati equations with finite discrete jumps.

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참고문헌

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