Data‐driven parameter tuning for rational feedforward controller: Achieving optimal estimation via instrumental variable-Reference-Cited by-同舟云学术

Data‐driven parameter tuning for rational feedforward controller: Achieving optimal estimation via instrumental variable

Published:2021-02-08 Issue:7 Volume:15 Page:937-948
ISSN:1751-8644
Container-title:IET Control Theory & Applications
language:en
Short-container-title:IET Control Theory & Appl

Author:

Huang Weicai¹²,Yang Kaiming¹²,Zhu Yu¹²,Lu Sen¹²

Affiliation:

1. State Key Laboratory of Tribology Department of Mechanical Engineering Tsinghua University Beijing P.R. China

2. Beijing Key Laboratory of Precision/Ultra‐Precision Manufacturing Equipments and Control Tsinghua University Beijing P.R. China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Control and Optimization,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/cth2.12093

Reference35 articles.

1. Convergence performance oriented data‐driven tuning method for parameterised controller design with cases investigation

2. State/Model-Free Variable-Gain Discrete Sliding Mode Control for an Ultraprecision Wafer Stage

3. An Integrated Model-Data-Based Zero-Phase Error Tracking Feedforward Control Strategy With Application to an Ultraprecision Wafer Stage

4. Data-driven iterative feedforward control with rational parametrization: Achieving optimality for varying tasks

5. Analysis and comparison of three discrete-time feedforward model-inverse control techniques for nonminimum-phase systems

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