<p>This paper presents a new result on <InlineEquation ID="IEq3"> <EquationSource Format="TEX">\(H_{\infty }\)</EquationSource> </InlineEquation> filtering criterion for delayed linear systems based on improved techniques. First, a proportional-integral-type exponential-based filter is proposed by introducing an exponential decay term, which unifies the Luenberger-type filter and the traditional proportional-integral-type filter as its special cases. As a result, the convergence rate of the filtering error system can be accelerated. Second, to facilitate the use of more information about time delays, a binomial formula-based functional is constructed by applying the binomial theorem. Consequently, the upper bound of the time-derivative of the Lyapunov-Krasovskii functional can be more accurately estimated, then some sufficient conditions that guarantee the existence of <InlineEquation ID="IEq4"> <EquationSource Format="TEX">\(H_{\infty }\)</EquationSource> </InlineEquation> filters for delayed linear systems are obtained. Finally, simulations are provided to demonstrate the effectiveness of the proposed method.</p>

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A New Result on \(H_{\infty }\) Filtering Criterion Based on Improved Techniques

  • Guoqiang Tan,
  • Ting Wang

摘要

This paper presents a new result on \(H_{\infty }\) filtering criterion for delayed linear systems based on improved techniques. First, a proportional-integral-type exponential-based filter is proposed by introducing an exponential decay term, which unifies the Luenberger-type filter and the traditional proportional-integral-type filter as its special cases. As a result, the convergence rate of the filtering error system can be accelerated. Second, to facilitate the use of more information about time delays, a binomial formula-based functional is constructed by applying the binomial theorem. Consequently, the upper bound of the time-derivative of the Lyapunov-Krasovskii functional can be more accurately estimated, then some sufficient conditions that guarantee the existence of \(H_{\infty }\) filters for delayed linear systems are obtained. Finally, simulations are provided to demonstrate the effectiveness of the proposed method.