A Difference Based Efficient Approximate Algorithm for Model Predictive Control of Input Constrained Linear Systems
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- SAITOU Yutaka
- Graduate School of of Information Science and Engineering, Tokyo Institute of Technohlogy
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- IMURA Jun-ichi
- Graduate School of of Information Science and Engineering, Tokyo Institute of Technohlogy
Bibliographic Information
- Other Title
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- 入力拘束付き線形システムのモデル予測制御のための差分型高速近似解法
- ニュウリョク コウソク ツキ センケイ システム ノ モデル ヨソク セイギョ ノ タメ ノ サブンガタ コウソク キンジカイホウ
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Abstract
This paper proposes a novel efficient algorithm for model predictive control (MPC) of discrete-time linear systems subject to input constraints. As is well known, the MPC problem is reduced into the problem of calculating the solution trajectory of the discrete-time linear complementarity (D-LC) systems. Based on this fact, the algorithm fully exploits the information on the solution of the problem at the previous time step, as like the difference technique used in the calculation of the solution trajectory of the dynamical system. Efficiency of the proposed algorithm is shown by a numerical example.
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 41 (9), 729-738, 2005
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
- 1390001204504896000
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- NII Article ID
- 130003791989
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- NII Book ID
- AN00072392
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- ISSN
- 18838189
- 04534654
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- NDL BIB ID
- 7491350
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed