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- KAYANO Mitsugu
- SECOM Intelligent Systems Laboratory
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- TSUMURA Kouji
- Graduate School of Engineering, The University of Tokyo
Bibliographic Information
- Other Title
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- 制御を考慮したモデル推定・選択問題における数値実験と考察
Abstract
In this paper, we analyse and discuss the efficiency of an expanded likelihood and a criterion for model estimation and selection problem in consideration of controller design by computer simulations. In the model estimation and selection, the uncertainty of system is transformed to that of control performance by a controller, and the models are estimated on the transformed space. According to the proposed method, the models are estimated by expanded maximum likelihood method on the transformed space, and the class of models is selected by the proposed criterion. The simulation results show that the criterion evaluates both the uncertainty of control performance and the discrepancies between the true system and estimated models. We also show that a designer of the controller can adjust weights of the two above-mentioned properties by selecting proper weights on the likelihood.
Journal
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- Transactions of the Society of Instrument and Control Engineers
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Transactions of the Society of Instrument and Control Engineers 38 (6), 537-542, 2002
The Society of Instrument and Control Engineers
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Details 詳細情報について
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- CRID
- 1390282679479045888
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- NII Article ID
- 130003791798
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- ISSN
- 18838189
- 04534654
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed