An improved computationally efficient identification method for errors-in-variables models based on v-gap optimisation
Author:
Affiliation:
1. Tianjin Key Laboratory of Information Sensing and Intelligent Control, School of Automation and Electrical Engineering, Tianjin University of Technology and Education , Tianjin, P. R. China
Funder
Tianjin Natural Science Foundation of China
Tianjin University of Technology and Education Funded Projects
Publisher
Informa UK Limited
Subject
Computer Science Applications,Control and Systems Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/00207179.2018.1429672
Reference30 articles.
1. Identifiability of errors in variables dynamic systems
2. A measure of robust stability for an identified set of parametrized transfer functions
3. A new algorithm for statistical circuit design based on quasi-Newton methods and function splitting
4. A trust region method based on interior point techniques for nonlinear programming
5. An Interior Point Algorithm for Large-Scale Nonlinear Programming
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