Constructing networks of continuous-time velocity-based models

IEE Proceedings: Control Theory and Applications

Volumn 148, Issue 5, 2001, Pages 397-405

  McLoone, S C ^a   Irwin, G W ^a   McLoone, S F ^a  

^a QUEEN'S UNIVERSITY BELFAST   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

DISCRETE TIME CONTROL SYSTEMS; INDUSTRIAL APPLICATIONS; NONLINEAR CONTROL SYSTEMS; PARAMETER ESTIMATION; STATE SPACE METHODS;

LOCAL MODEL (LM) NETWORKS;

CONTROL SYSTEM SYNTHESIS;

EID: 0035467250     PISSN: 13502379     EISSN: None     Source Type: Journal    
DOI: 10.1049/ip-cta:20010676     Document Type: Conference Paper

References (22)

1. Nonlinear system modelling based on the Wiener theory
2. Representations of nonlinear systems: The NARMAX model
3. Modelling of nonlinear systems
4. Identification and control of dynamical systems using neural networks
5. Neural network modelling of a 200 MW boiler system
6. Neural network modelling of a polymerisation reactor
7. Nonlinear dynamic matrix control using local model networks
8. Local basis function networks for identification of a turbocharger
9. Local model networks for nonlinear system identification
10. Local model networks for non-linear internal model control
11. On the interpretation of local models in blended multiple model structures
12. On transient dynamics, off-equilibrium behaviour and identification in blended multiple model structures
13. Analytic framework for blended multiple model systems using linear local models
14. Process dynamic modelling using continuous-time local model networks
15. Identification of nonlinear system structure and parameters using regime decomposition
16. Parameter estimation for continuous-time models - A survey
17. Continuous-time approaches to system identification - A survey