TY - GEN
T1 - Hammerstein system identification with multisine excitations - Quantized low-power observations case
AU - Figwer, Jaroslaw
PY - 2013
Y1 - 2013
N2 - In the paper an approach to Hammerstein system identification based on quantized low-power observations is presented. In the presented approach realisations of discrete-time multisine random processes are used as the Hammerstein system excitation and the overall Hammerstein system identification problem is decomposed into the linear dynamic control channel subsystem, the corresponding disturbance at linear dynamic control channel subsystem output and input memoryless nonlinearity identification problems. The presented discussion is illustrated by a simulation example showing properties of the presented approach.
AB - In the paper an approach to Hammerstein system identification based on quantized low-power observations is presented. In the presented approach realisations of discrete-time multisine random processes are used as the Hammerstein system excitation and the overall Hammerstein system identification problem is decomposed into the linear dynamic control channel subsystem, the corresponding disturbance at linear dynamic control channel subsystem output and input memoryless nonlinearity identification problems. The presented discussion is illustrated by a simulation example showing properties of the presented approach.
UR - https://www.scopus.com/pages/publications/84893502585
M3 - Conference contribution
AN - SCOPUS:84893502585
SN - 9781467355063
T3 - 2013 18th International Conference on Methods and Models in Automation and Robotics, MMAR 2013
SP - 127
EP - 131
BT - 2013 18th International Conference on Methods and Models in Automation and Robotics, MMAR 2013
T2 - 2013 18th International Conference on Methods and Models in Automation and Robotics, MMAR 2013
Y2 - 26 August 2013 through 29 August 2013
ER -