Nonlinear dynamic system identification and control via self-regulating modular neural network
An endeavor is made in this paper to describe a self-regulating constructive multi-model neural network called Self-regulating Growing Multi-Experts Network (SGMN) that can approximate an unknown nonlinear function from observed input-output training data. The proposed network is devised to overcome...
Saved in:
Main Authors: | Kiong, L.C., Rajeswari, M., Rao, M.V.C. |
---|---|
Format: | Article |
Published: |
2003
|
Subjects: | |
Online Access: | http://eprints.um.edu.my/5166/ http://www.scopus.com/record/display.url?eid=2-s2.0-0141633812&origin=resultslist&sort=plf-f&src=s&st1=nonlinear+dynamic+system+identification+and+control+via+self-regulating+modular+neural+network&sid=VvhpQ3rHssIt2bY4XBTlTpF%3a20&sot=b&sdt=b&sl=109&s=TIT |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Nonlinear dynamic system identification and control via constructivism inspired neural network
by: Chu Kiong, L., et al.
Published: (2003) -
Novel direct and self-regulating approaches to determine optimum growing multi-experts network structure
by: Loo, C.K., et al.
Published: (2004) -
A Self-learning Nonlinear Variable Gain Proportional
Derivative (PD) Controller in Robot Manipulators
by: Kiong, Loo Chu, et al.
Published: (2004) -
Extrapolation detection and novelty-based node insertion for sequential growing multi-experts network
by: Chu Kiong, L., et al.
Published: (2003) -
Robust incremental growing multi-experts network
by: Loo, C.K., et al.
Published: (2006)