オンライン推定モデルを利用した適応MP​Cの設計

モデル予測制御(MPC)は、複雑なシステムにおける高性能な制御機能を実現するための、実用的な手段として注目されている。しかし、MPCの内部モデル設計の工数、また内部モデルと実システムとのずれによる不安定化が課題となっている。そこで、逐次最小二乗法を用いた実時間モデル推定を行い、そ
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Aktualisiert 18. Sep 2024

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Toshinobu Shintai (2024). オンライン推定モデルを利用した適応MPCの設計 (https://github.com/mathworks/balancing-ball-control-with-adaptive-mpc-using-online-model-estimation/releases/tag/v6.0), GitHub. Abgerufen.

Kompatibilität der MATLAB-Version
Erstellt mit R2023a
Kompatibel mit R2022a bis R2023a
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Version Veröffentlicht Versionshinweise
6.0

See release notes for this release on GitHub: https://github.com/mathworks/balancing-ball-control-with-adaptive-mpc-using-online-model-estimation/releases/tag/v6.0

5.0

See release notes for this release on GitHub: https://github.com/mathworks/balancing-ball-control-with-adaptive-mpc-using-online-model-estimation/releases/tag/v5.0

4.0.0.0

See release notes for this release on GitHub: https://github.com/mathworks/balancing-ball-control-with-adaptive-mpc-using-online-model-estimation/releases/tag/v4.0

3.0.0.0

See release notes for this release on GitHub: https://github.com/mathworks/balancing-ball-control-with-adaptive-mpc-using-online-model-estimation/releases/tag/v3.0

2.0.1

See release notes for this release on GitHub: https://github.com/mathworks/balancing-ball-control-with-adaptive-mpc-using-online-model-estimation/releases/tag/v2.0.1

2.0

See release notes for this release on GitHub: https://github.com/mathworks/balancing-ball-control-with-adaptive-mpc-using-online-model-estimation/releases/tag/v2.0

1.0.2

See release notes for this release on GitHub: https://github.com/mathworks/balancing-ball-control-with-adaptive-mpc-using-online-model-estimation/releases/tag/v1.0.2

1.0.1

See release notes for this release on GitHub: https://github.com/mathworks/balancing-ball-control-with-adaptive-mpc-using-online-model-estimation/releases/tag/v1.0.1

1.0

Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.
Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.