Learning exactly linearizable deep dynamics models
Research on control using models based on machine-learning methods has now shifted to the practical engineering stage. Achieving high performance and theoretically guaranteeing the safety of the system is critical for such applications. In this paper, we propose a learning method for exactly lineari...
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Main Authors: | Ryuta Moriyasu, Masayuki Kusunoki, Kenji Kashima |
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Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2025-12-01
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Series: | SICE Journal of Control, Measurement, and System Integration |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/18824889.2025.2459429 |
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