Nonlinear dynamic system identification and control via constructivism inspired neural network
This paper deals with a novel idea of identification of nonlinear dynamic systems via a constructivism inspired neural network. The proposed network is known as growing multi-experts network (GMN). In GMN, the problem space is decomposed into overlapping regions by expertise domain and local expert...
Saved in:
Main Authors: | Chu Kiong, L., Rajeswari, M., Rao, M.V.C. |
---|---|
Format: | Article |
Published: |
2003
|
Subjects: | |
Online Access: | http://eprints.um.edu.my/5160/ http://www.sciencedirect.com/science/article/pii/S1568494603000371 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Nonlinear dynamic system identification and control via self-regulating modular neural network
by: Kiong, L.C., et al.
Published: (2003) -
Extrapolation detection and novelty-based node insertion for sequential growing multi-experts network
by: Chu Kiong, L., et al.
Published: (2003) -
Enhanced probabilistic neural network with data imputation capabilities for machine-fault slassification
by: Chang, R.K.Y., et al.
Published: (2009) -
A Self-learning Nonlinear Variable Gain Proportional
Derivative (PD) Controller in Robot Manipulators
by: Kiong, Loo Chu, et al.
Published: (2004) -
Robust incremental growing multi-experts network
by: Loo, C.K., et al.
Published: (2006)