High performance control of active camera head using PaLMtree

2006 ◽  
Author(s):  
T. Nakamura ◽  
Y. Sakata ◽  
T. Wada ◽  
Haiyuan Wu
Keyword(s):  
High Performance ◽  
Performance Control ◽  
Active Camera

scholarly journals High-Performance Active Camera Head Control Using PaLM-Tree

2009 ◽  
Vol 21 (6) ◽  
pp. 720-725
Author(s):  
Takayuki Nakamura ◽  
◽  
Yoshio Sakata ◽  
Toshikazu Wada ◽  
Haiyuan Wu
Keyword(s):  
High Performance ◽  
Moving Target ◽  
Palm Tree ◽  
Performance Control ◽  
Loop Control ◽  
Feedback Error Learning ◽  
Feedback Error ◽  
Error Learning ◽  
Function Approximator ◽  
Active Camera

In this paper, we propose a method for controlling an active camera in tracking a moving target highly accurately using PaLM-tree, an easy-to-use function approximator we developed. Our feedback error learning controller enhanced by PaLM-tree improves accuracy in tracking a moving target. PaLM-tree correctly learns the inverse model in the feedback error learning. Despite unknown mechanical friction and relatively large closed-loop control latency, our active camera head can successfully track eye movement using the feedback error learning controller. Through experimental results, we confirmed that our method achieved better performance control than a tuned feedback controller.

Surrogate models for high performance control systems in wind-excited tall buildings

2020 ◽  
Vol 90 ◽  
pp. 106133 ◽  
Author(s):  
Laura Micheli ◽  
Jonathan Hong ◽  
Simon Laflamme ◽  
Alice Alipour
Keyword(s):  
Control Systems ◽  
High Performance ◽  
Tall Buildings ◽  
Surrogate Models ◽  
Performance Control
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