An extended self-organizing map for nonlinear system identification

Industrial and Engineering Chemistry Research

Volumn 39, Issue 10, 2000, Pages 3778-3788

  Ge, M ^a,b   Chiu, M S ^a   Wang, Q G ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b Honeywell Singapore Technology Center   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

FEEDFORWARD NEURAL NETWORKS; LEARNING ALGORITHMS; LEAST SQUARES APPROXIMATIONS; MULTILAYER NEURAL NETWORKS; OPTIMIZATION;

EXTENDED SELF-ORGANIZING MAPS (ESOM); LOCAL MODEL NETWORKS (LMN);

PROCESS CONTROL;

ARTICLE; CHEMICAL ENGINEERING; CHEMICAL INDUSTRY; MODEL; NONLINEAR SYSTEM;

EID: 0034306036     PISSN: 08885885     EISSN: None     Source Type: Journal    
DOI: 10.1021/ie0000212     Document Type: Article

References (15)

1. Identification of nonlinear system structure and parameters using regime decomposition
2. Adaptation and learning using multiple models, switching and tuning
3. Constructing NARMAX models using ARMAX models
4. Nonlinear internal model control using local model networks
5. Dynamically scheduled MPC of nonlinear processes using hinging hyperplane models
6. Process operation near an unstable steady-state using nonlinear feedback control