Title :
Sampled-data model following control for discrete-valued input systems via improved matrix uncertainty approach
Author :
Kenji Sawada;Seiichi Shin
Author_Institution :
Info-Powered Energy System Research Center, The University of Electro-Communications, Chofu, Tokyo, 182-8585, Japan
fDate :
7/1/2015 12:00:00 AM
Abstract :
This paper considers a sampled-data model following control for continuous-time discrete-valued input systems. A synthesis condition is recast as a set of matrix inequalities via the matrix uncertainty approach, while the quantized accuracy and the switching speed of discretizing the continuous-valued signal are considered simultaneously. To reduce the conservativeness of the synthesis condition, the improved approach dividing the region of the switching intervals is also proposed.
Keywords :
"Linear matrix inequalities","Cost function","Uncertainty","Accuracy","Quantization (signal)","Feedforward neural networks","Sampled data systems"
Conference_Titel :
Control Conference (ECC), 2015 European
DOI :
10.1109/ECC.2015.7330775