Cyclic Reformulation-Based System Identification for Periodically Time-Varying Systems
This paper presents a novel system identification algorithm for linear periodically time-varying (LPTV) plants within a discrete-time framework. The algorithm integrates a cyclic reformulation with a state coordinate transformation of the cycled system to enable precise identification of LPTV dynami...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10858707/ |
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