Owens, D H, Freeman, C T and Chu, Bing
Norm Optimal Iterative Learning Control with Auxiliary Optimization: A Switching Approach
At IFAC International Workshop on Adaptation and Learning in Control and Signal Processing 2013, France.
03 - 05 Jul 2013.
Full text not available from this repository.
The paper describes a substantial extension of Norm Optimal Iterative Learning Control (NOILC) that permits tracking of a class of finite dimensional reference signals whilst simultaneously minimizing a quadratic cost function. Motivated by practical problems in automation and control, this enables point-to-point motion tasks to be performed whilst reducing effects such as payload spillage, vibration tendencies and actuator wear. Solutions combine feedforward and feedback actions, and are experimentally tested using a robotic arm.
Conference or Workshop Item
|Venue - Dates:
||IFAC International Workshop on Adaptation and Learning in Control and Signal Processing 2013, France, 2013-07-03 - 2013-07-05
||EEE, Southampton Wireless Group
|3 July 2013||Published|
||16 Oct 2012 23:29
||17 Apr 2017 16:28
|Further Information:||Google Scholar|
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