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- W2649660168 abstract "Abstract Design of filters ensuring convergence of algorithms in the presence of uncertainty in the plant model is a key problem in the area of identification and adaptive control. This paper addresses the problem of designing filters which make a family of uncertain discrete-time polynomials strict positive real over an assigned region of the complex plane. When the uncertain family is given by polynomials having the roots inside a circle, an explicit parameterization of a family of filters maximizing the strict positive realness domain is provided. For more general uncertainty region, a simple procedure for constructing sub-optimal solutions to the filter design problem is proposed. Several numerical examples are fully developed to show the effectiveness of the proposed approach." @default.
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- W2649660168 date "1992-07-01" @default.
- W2649660168 modified "2023-09-27" @default.
- W2649660168 title "Design Criteria for Robust Strict Positive Realness in Adaptive Schemes" @default.
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- W2649660168 doi "https://doi.org/10.1016/s1474-6670(17)50706-5" @default.
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