Gain Scheduled State Feedback Synthesis for Markovian Jump Systems with Mode Transition Probabilities Depending on Time-Varying Parameters
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- Nagira Yuji
- Graduate School of Engineering, Kyoto University
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- Matsuzaki Hiroki
- Graduate School of Engineering, Kyoto University
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- Hosoe Yohei
- Graduate School of Engineering, Kyoto University
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- Hagiwara Tomomichi
- Graduate School of Engineering, Kyoto University
Bibliographic Information
- Other Title
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- モード遷移確率が時変パラメータに依存するマルコフジャンプ系のゲインスケジュールド状態フィードバック設計
- モード センイ カクリツ ガ ジヘン パラメータ ニ イソン スル マルコフジャンプケイ ノ ゲインスケジュールド ジョウタイ フィードバック セッケイ
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Description
<p>This paper discusses gain-scheduled state feedback synthesis problems for Markovian jump systems with some time-varying parameters that are available online. In particular, we consider those systems with such time-varying parameters not only in the coefficient matrices but also in the mode transition probability matrices. This paper discusses the stability analysis and synthesis methods of the gain-scheduled state feedback under such a situation that these time-varying parameters are exploited. The effectiveness of the methods is demonstrated through numerical examples.</p>
Journal
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- Transactions of the Institute of Systems, Control and Information Engineers
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Transactions of the Institute of Systems, Control and Information Engineers 32 (11), 396-407, 2019-11-15
THE INSTITUTE OF SYSTEMS, CONTROL AND INFORMATION ENGINEERS (ISCIE)
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Details 詳細情報について
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- CRID
- 1390846609805749120
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- NII Article ID
- 130007798535
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- NII Book ID
- AN1013280X
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- ISSN
- 2185811X
- 13425668
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- NDL BIB ID
- 030069048
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- Text Lang
- ja
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- Article Type
- journal article
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- Data Source
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- JaLC
- NDL Search
- Crossref
- CiNii Articles
- KAKEN
- OpenAIRE
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- Abstract License Flag
- Disallowed