Data-Driven Stochastic Optimal Iterative Learning Control for Nonlinear Non-Affine Systems With Measurement Data Loss

Data-Driven Stochastic Optimal Iterative Learning Control for Nonlinear Non-Affine Systems With Measurement Data Loss

In this paper, the measurement data loss is considered and two data-driven stochastic optimal iterative learning control (DDSOILC) methods are presented directly for nonlinear network systems. Specifically, an iterative dynamic linearization (IDL) is adopted to construct the linear incremental input...

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Bibliographic Details
Main Authors: Hao Liang, Ronghu Chi, Yunkai Lv, Yumei Sun, Debin Kong
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Data-driven control
stochastic optimal ILC
nonlinear network systems
measurement data loss
Online Access:https://ieeexplore.ieee.org/document/8839025/

Internet

https://ieeexplore.ieee.org/document/8839025/

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