One problem with the adaptive tracking is that the data that are used to train the new target model often contain errors and these errors will affect the quality of the new target...
A recent report by the National Research Council (NRC) declares neural networks “hold the most promise for providing powerful learning models”. While some researchers have expe...
Amy E. Henninger, Avelino J. Gonzalez, Michael Geo...
New embedded systems must be power-aware, not just low-power. That is, they must track their power sources and the changingpower and performance constraints imposed by the environ...
Jinfeng Liu, Pai H. Chou, Nader Bagherzadeh, Fadi ...
A generic architecture for evolutive supervision of robotized assembly tasks is presented. This architecture , at different levels of abstraction, functions for dispatching action...
: Most academic control schemes for MIMO systems assume all the control variables are updated simultaneously. MPC outperforms other control strategies through its ability to deal w...
Keck Voon Ling, Jan M. Maciejowski, A. G. Richards...