This paper describes a neural predictive control toolbox developed in Matlab/Simulink
environment. The application permits all phases of the system design: simulation of the plant …

DYNAMIC MODELLING OF COMBUSTION PROCESSES Yong Qin Page 1 DYNAMIC
MODELLING OF COMBUSTION PROCESSES A Thesis submitted to Cardiff University for the …

Les réseaux de neurones artificiels, appelés aussi réseaux neuromimétiques, constituent
aujourd'hui une technique de traitement de données bien comprise et bien maîtrisée. Notre …

In this paper, we propose a discrete-time infinite horizon nonlinear model predictive control
(QIH-NMPC) based on state-space recurrent multi-dimensional Taylor network (RMTN). The …

Scope and method of study. In this work, a Nonlinear Model Predictive Control (NMPC)
strategy named as Grouped Neural Network Model Predictive Control (GNNMPC), based …

Dyeing process is a serious nonlinear process, and can't be accurately controlled by
traditional linear control algorithms. Generalized Predictive Control (GPC) based on linear …

Ecological security classification of land resources play an important role in sustainable
utilization of land resources and improve benefit of healthy development of urbanization in …

Ecological security prediction of land resources play an important role in sustainable
utilization of land resources and improve benefit of healthy development of urbanization in …

El uso del control predictivo es una realidad dentro del mundo de la industria del proceso.
Su utilización se ha ido extendiendo en el entorno industrial debido a la sencillez de sus …

Coordinated development degree of county socio-economic system analysis and prediction
play an important role in urban agglomeration coordinated development and improve …