scholarly journals UKF-based closed loop iterative learning control of epileptiform wave in a neural mass model

2014 ◽  
Vol 9 (1) ◽  
pp. 31-40 ◽  
Author(s):  
Bonan Shan ◽  
Jiang Wang ◽  
Bin Deng ◽  
Xile Wei ◽  
Haitao Yu ◽  
...  
2019 ◽  
Vol 292 ◽  
pp. 01010
Author(s):  
Mihailo Lazarević ◽  
Nikola Živković ◽  
Darko Radojević

The paper designs an appropriate iterative learning control (ILC) algorithm based on the trajectory characteristics of upper exosk el eton robotic system. The procedure of mathematical modelling of an exoskeleton system for rehabilitation is given and synthesis of a control law with two loops. First (inner) loop represents exact linearization of a given system, and the second (outer) loop is synthesis of a iterative learning control law which consists of two loops, open and closed loop. In open loop ILC sgnPDD2 is applied, while in feedback classical PD control law is used. Finally, a simulation example is presented to illustrate the feasibility and effectiveness of the proposed advanced open-closed iterative learning control scheme.


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