Author/Authors
Yoshihiro Hashimoto، نويسنده , , Takaaki Katoh، نويسنده , , Takayuki Shiina، نويسنده , , Akihiko Yoneya، نويسنده , , Yoshitaka Togari and Colin McGreavy، نويسنده ,
DocumentNumber
1384178
Title Of Article
Piecewise linear controller improving its own reliability
شماره ركورد
11071
Latin Abstract
Although the capability of neural networks in nonlinear dynamics modelling is well-established, the reliability
of the output heavily depends on the training data. The reliability is a serious problem in applying
it to real problems. In this paper, we propose a radial basis functions network (RBFN) which evaluates
its own reliability and improves itself recursively. This network approximates the input-output relationships
with a piecewise linear regression. An adaptive internal model control algorithm in which the reliability
of the model is used to tune the controller performance, is also proposed.
From Page
129
NaturalLanguageKeyword
nonlinear control , piecewise linear regression , neural network
JournalTitle
Studia Iranica
To Page
136
To Page
136
Link To Document