Gradient-Based Iterative Parameter Estimation Algorithms for Dynamical Systems from Observation Data

It is well-known that mathematical models are the basis for system analysis and controller design. This paper considers the parameter identification problems of stochastic systems by the controlled autoregressive model. A gradient-based iterative algorithm is derived from observation data by using t...

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Bibliographic Details
Main Authors: Feng Ding, Jian Pan, Ahmed Alsaedi, Tasawar Hayat
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/7/5/428

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