From MRAC to learning-based MPC: the emerging importance of machine learning for control of robot manipulators

Soltani Naveh, K. and McAree, P. R. (2016). From MRAC to learning-based MPC: the emerging importance of machine learning for control of robot manipulators. In Dan Zhang and Bin Wei (Ed.), Adaptive control for robotic manipulators (pp. 1-28) Boca Raton, FL, United States: CRC Press. doi:10.1201/9781315166056


Author Soltani Naveh, K.
McAree, P. R.
Title of chapter From MRAC to learning-based MPC: the emerging importance of machine learning for control of robot manipulators
Title of book Adaptive control for robotic manipulators
Place of Publication Boca Raton, FL, United States
Publisher CRC Press
Publication Year 2016
Sub-type Critical review of research, literature review, critical commentary
DOI 10.1201/9781315166056
Open Access Status Not yet assessed
ISBN 9781498764872
9781498764889
Editor Dan Zhang
Bin Wei
Chapter number 1
Start page 1
End page 28
Total pages 28
Total chapters 16
Collection year 2017
Language eng
Keyword Machine learning
Learning control
Neural networks
Model predictive control
Q-Index Code B1
Q-Index Status Provisional Code
Institutional Status UQ

 
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Created: Fri, 03 Mar 2017, 10:11:33 EST by Professor Ross Mcaree on behalf of School of Mechanical and Mining Engineering