書誌事項
- タイトル別名
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- Dynamic Quantizer Synthesis Based on Particle Swarm Optimization
抄録
For the control of mechanical systems including discrete-valued devices such as discrete-level actuators and communication encoders, one of the promising approaches is to utilize dynamic quantizers. Here, the dynamic quantizer is a device which converts continuous-valued signals into discrete-valued ones depending on the past signal data. This paper focuses on a dynamic quantizer design problem which is to find a quantizer such that the output behavior of systems with quantizers is similar to that of ideal systems without quantizers. In this paper, we first formulate a design problem of fixed-order dynamic quantizers under several constraint conditions such as stability of quantizer, control input saturation, and pole assignment. Then, for getting a solution to the problem, we present an easy-to-use quantizer design method based on particle swarm optimization (PSO) which is a swarm intelligence technique and is one of the evolutionary computation algorithms. Finally, it is verified that the PSO based method gives satisfactory fixed-order dynamic quantizers through several numerical examples with a cart positioning system and an unstable mechanical system. Further we conclude that the proposed method could be an useful tool for the design of dynamic quantizers.
収録刊行物
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- 日本機械学会論文集C編
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日本機械学会論文集C編 79 (804), 2804-2816, 2013
一般社団法人 日本機械学会
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詳細情報 詳細情報について
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- CRID
- 1390001206385902720
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- NII論文ID
- 130003375149
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- ISSN
- 18848354
- 03875024
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
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- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可