Polynomial regression based model-free predictive control for nonlinear systems

2016 ◽  
Author(s):  
Hongran Li ◽  
Shigeru Yamamoto
Keyword(s):  
Nonlinear Systems ◽  
Predictive Control ◽  
Polynomial Regression ◽  
Model Free

Adaptive Neural Network Based Predictive Control of Nonlinear Systems With Slow Dynamics

2020 ◽  
Author(s):  
Mark Spiller ◽  
Fateme Bakhshande ◽  
Dirk Söffker
Keyword(s):  
Neural Network ◽  
Nonlinear Systems ◽  
Predictive Control ◽  
Mimo System ◽  
Prediction Equation ◽  
Control Input ◽  
System Behavior ◽  
Slow Dynamics ◽  
Model Free ◽  
Data Driven Approach

Abstract In this paper a data-driven approach for model-free control of nonlinear systems with slow dynamics is proposed. The system behavior is described using a local model respectively a neural network. The network is updated online based on a Kalman filter. By predicting the system behavior two control approaches are discussed. One is obtained by calculating a control input from the one step ahead prediction equation using least squares, the other is obtained by solving a standard linear model predictive control problem. The approaches are tested on a constrained nonlinear MIMO system with slow dynamics.

Vibration suppression method of humanoid flexible arm based on model-free predictive control

2021 ◽  
pp. 1-9
Author(s):  
Qinjun Du ◽  
Chuanming Song ◽  
Wei Ding ◽  
Long Zhao ◽  
Yonggang Luo
Keyword(s):  
Predictive Control ◽  
Vibration Suppression ◽  
Model Free ◽  
Flexible Arm ◽  
Suppression Method
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