Set-membership identification of continuous-time systems through model transformation
Author:
Affiliation:
1. Politecnico di Torino,Dipartimento di Automatica e Informatica,Torino,Italy,10129
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9992315/9992317/09992815.pdf?arnumber=9992815
Reference27 articles.
1. Continuous-time approaches to system identification—A survey
2. Continuous-time model identification from sampled data: Implementation issues and performance evaluation
3. Direct continuous-time approaches to system identification. Overview and benefits for practical applications
4. Identification and estimation of continuous-time, data-based mechanistic (DBM) models for environmental systems
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Identification of Continuous-Time Systems with Irregular Samplings by Invariant-Subspace Based Method;IEEE Transactions on Automatic Control;2023
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