Predictor Design of a Novel Grey Model PGM21 Using Pseudo Second-Order Information

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概要

• 論文の詳細を見る

• A novel grey model, called pseudo-GM(2,1) or PGM21 for simplicity, is developed to improve the prediction accuracy for a non-monotone sequence by modifying the GM (1,1) model with a remedial term. Since the remedial term consists of two development coefficients, it can be treated as a kind of second-order information, called the pseudo second-order information in this paper. With the remedial term, the PGM21 only costs a little higher computation time than the original GM (1,1) model; however, its prediction accuracy is highly increased. The important features of the PGM21 are demonstrated by numeric simulation results.

• 一般社団法人日本機械学会の論文
• 2006-06-15

著者

• Chen Yon‐ping

  Department Of Electrical And Control Engineering National Chiao-tung University

• Chen Yon-ping

  Department Of Electrical And Control Engineering National Chiao Tung University

• LI Keh-Tsong

  Department of Electrical and Control Engineering, National Chiao-Tung University

• Li Keh-tsong

  Department Of Electrical And Control Engineering National Chiao-tung University

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• Predictor Design of a Novel Grey Model PGM21 Using Pseudo Second-Order Information
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• Robust Discrete-Time Output Tracking Controller Design for Nonminimum Phase Systems
• Output Feedback Sliding-Mode Controller Design for Minimum Phase Linear Systems

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