TY - CHAP
T1 - Neural PCA Controller Based on Multi-Models
AU - Palma, Luís Filipe Figueira de Brito
AU - Coito, Fernando José Almeida Vieira do
AU - Gil, Paulo José Carrilho de Sousa
PY - 2015
Y1 - 2015
N2 - In this paper, a new approach to design nonlinear adaptive PI multi-controllers, for SISO systems, based on neural local linear principal components analysis (PCA) models is proposed. The PCA neural networks only implements the integral term of the PI multi-controller, a proportional term is added to obtain a PI structure. A modi ed normalized Harris performance index is used for evaluating the controller performance. Some experimental results obtained with a nonlinear three tank benchmark model are presented, showing the adaptive PI-PCA multicontroller performance compared to neural linear PI controllers.
AB - In this paper, a new approach to design nonlinear adaptive PI multi-controllers, for SISO systems, based on neural local linear principal components analysis (PCA) models is proposed. The PCA neural networks only implements the integral term of the PI multi-controller, a proportional term is added to obtain a PI structure. A modi ed normalized Harris performance index is used for evaluating the controller performance. Some experimental results obtained with a nonlinear three tank benchmark model are presented, showing the adaptive PI-PCA multicontroller performance compared to neural linear PI controllers.
KW - multi-models
KW - nonlinear adaptive PI control
KW - principal component analysis
U2 - 10.1007/978-3-319-10380-8_11
DO - 10.1007/978-3-319-10380-8_11
M3 - Chapter
SN - 978-3-319-10379-2
VL - 321
T3 - Lecture Notes in Electrical Engineering (LNEE)
SP - 103
EP - 112
BT - CONTROLO'2014 – Proceedings of the 11th Portuguese Conference on Automatic Control
A2 - Moreira, Paulo António
A2 - Matos, Aníbal
A2 - Veiga, Germano
PB - Springer International Publishing
CY - Cham, Switzerland
T2 - 11th Portuguese Conference on Automatic Control
Y2 - 21 July 2014 through 23 July 2014
ER -