針對非最小相位系統之時間分散式未知信號估測技術研發

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Title:	針對非最小相位系統之時間分散式未知信號估測技術研發 Time-Distributed Unknown Input Filtering for Nonminimum-Phase Systems
Authors:	謝劍書
Contributors:	電機工程學系
Keywords:	時間分散式估測技術未知信號估測不穩定系統非最小相位系統無偏移最小變異量濾波法 time-distributed filtering unknown input estimation unstable systems nonminimum-phase systems unbiased minimum-variance filtering
Date:	2020
Issue Date:	2020-09-30 15:01:50 (UTC+8)
Abstract:	本計畫之研究目的主要為解決無偏移最小變異量濾波法在求解未知輸入信號估測問題上，所存在的兩項缺點：(1)所求得之未知信號估測解無法應用在具非最小相位系統及(2)所求得之未知信號估測解可能無法有效的去除系統雜訊值。本計畫將針對下面三項研究議題：(1)完整未知信號估測技術研發、(2)未知信號估測器針對非最小相位系統之漸近穩定度分析研究及(3)無偏移最小變異量估測器對於消除系統雜訊能力的評估分析，提出一為期一年之延續型專題研究計畫，發展出一完整且穩定之最佳未知輸入及系統狀態估測技術，以期進一步提升未知信號估測器精度、漸進穩定特性及降低估測器計算複雜度。 The aim of this project is mainly to solve two existing problems of the unbiased minimum-variance filtering: the first one is that it cannot be applied to nonminimum-phase systems and the other is that it may not effectively solve noise problems. This one-year continuous project addresses three research issues: (1) complete unknown input filtering development, (2) asymptotic stability analysis of unknown input filtering for nonminimum-phase systems, and (3) evaluation and analysis of noise elimination capability of unbiased minimum-variance filtering. The project is intended to develop a complete and stable unknown input and state estimation method, and to further improve the filtering performance, to improve the asymptotic stability, and to reduce the computational complexity of the unknown input estimator.
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