Online data-driven fuzzy modeling for nonlinear dynamic systems

2005 ◽  
Author(s):  
Wan-Jun Hao ◽  
Wen-Yi Qiang ◽  
Qing-Xuan Chai ◽  
Jie-Lai Tang
Keyword(s):  
Dynamic Systems ◽  
Nonlinear Dynamic ◽  
Fuzzy Modeling ◽  
Data Driven ◽  
Nonlinear Dynamic Systems ◽  
Online Data

Data-Driven ILC for Trajectory Tracking in Nonlinear Dynamic Systems

2019 ◽  
Author(s):  
Yu-Hsiu Lee ◽  
Tsu-Chin Tsao
Keyword(s):  
Adaptive Filtering ◽  
Dynamic Systems ◽  
Trajectory Tracking ◽  
Nonlinear Dynamic ◽  
Fast Convergence ◽  
Data Driven ◽  
Nonlinear Dynamic Systems ◽  
Time Varying ◽  
Error Signal ◽  
Inverse Filter

Abstract The aim of this work is to propose a data-driven ILC algorithm that features fast convergence for nonlinear dynamic systems. This idea utilizes adaptive filtering that implicitly identifies the time-varying system inverse along the trajectory being tracked. By feeding the error signal through the copied inverse filter, it results in a rapidly convergent inversion-based ILC. This approach is compared to a nonlinear extension of the data-driven ILC that uses system adjoint as the learning filter. The developed algorithm is validated through simulation on a fully actuated 2 DOF Furuta pendulum.

Model Checking Control Software for Nonlinear Dynamic Systems

2008 ◽  
Author(s):  
James Kapinski ◽  
Alexandre Donze ◽  
Flavio Lerda ◽  
Hitashyam Maka ◽  
Edmund Clarke ◽  
...  
Keyword(s):  
Model Checking ◽  
Dynamic Systems ◽  
Nonlinear Dynamic ◽  
Nonlinear Dynamic Systems ◽  
Control Software
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