Adaptive Model-Free Control Based on an Ultra-Local Model With Model-Free Parameter Estimations for a Generic SISO System
In this paper, a new structure to design model-free control (MFC) based on the ultra-local model is presented for an unknown nonlinear single-input single-output dynamic system. The proposed structure includes two adaptive laws corresponding to the unknown linear and nonlinear terms. Utilizing the a...
Main Authors: | Ali Safaei, Muhammad Nasiruddin Mahyuddin |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2018-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8272013/ |
Similar Items
-
Offset-free nonlinear Model Predictive Control with state-space process models
by: Tatjewski Piotr
Published: (2017-12-01) -
A New Data-Driven Model-Free Adaptive Control for Discrete-Time Nonlinear Systems
by: Kai Deng, et al.
Published: (2019-01-01) -
Model-Free Adaptive Direct Torque Control for the Speed Regulation of Asynchronous Motors
by: Ziwei Zhang, et al.
Published: (2020-03-01) -
Parameter Self-Tuning of SISO Compact-Form Model-Free Adaptive Controller Based on Long Short-Term Memory Neural Network
by: Ye Yang, et al.
Published: (2020-01-01) -
Data-Driven Model-Free Adaptive Predictive Control for a Class of MIMO Nonlinear Discrete-Time Systems With Stability Analysis
by: Yuan Guo, et al.
Published: (2019-01-01)