Identification of local model network application to electrocardiogram segmentation

1999 ◽  
Vol 32 (2) ◽  
pp. 4396-4401
Author(s):  
Ludovic Fontaine ◽  
Gilles Mourot ◽  
José Ragot
Keyword(s):  
Local Model ◽  
Model Network ◽  
Local Model Network ◽  
Network Application

scholarly journals Nonlinear Predictive Control for a Boiler–Turbine Unit Based on a Local Model Network and Immune Genetic Algorithm

2019 ◽  
Vol 11 (18) ◽  
pp. 5102
Author(s):  
Hongxia Zhu ◽  
Gang Zhao ◽  
Li Sun ◽  
Kwang Y. Lee
Keyword(s):  
Genetic Algorithm ◽  
Predictive Control ◽  
Turbine Unit ◽  
Optimization Method ◽  
System Stability ◽  
Local Model ◽  
Initial Population ◽  
Immune Genetic Algorithm ◽  
Model Network ◽  
Local Model Network

This paper proposes a nonlinear model predictive control (NMPC) strategy based on a local model network (LMN) and a heuristic optimization method to solve the control problem for a nonlinear boiler–turbine unit. First, the LMN model of the boiler–turbine unit is identified by using a data-driven modeling method and converted into a time-varying global predictor. Then, the nonlinear constrained optimization problem for the predictive control is solved online by a specially designed immune genetic algorithm (IGA), which calculates the optimal control law at each sampling instant. By introducing an adaptive terminal cost in the objective function and utilizing local fictitious controllers to improve the initial population of IGA, the proposed NMPC can guarantee the system stability while the computational complexity is reduced since a shorter prediction horizon can be adopted. The effectiveness of the proposed NMPC is validated by simulations on a 500 MW coal-fired boiler–turbine unit.

Electricity Gain via Integrated Operation of Turbine Generator and Cooling Tower Using Local Model Network

2011 ◽  
Vol 26 (1) ◽  
pp. 245-255 ◽  
Author(s):  
Tian-Hong Pan ◽  
Shyan-Shu Shieh ◽  
Shi-Shang Jang ◽  
Chan-Wei Wu ◽  
Jenq-Jang Ou
Keyword(s):  
Cooling Tower ◽  
Local Model ◽  
Turbine Generator ◽  
Model Network ◽  
Local Model Network ◽  
Integrated Operation

Input Selection Using Local Model Network Trees

2014 ◽  
Vol 47 (3) ◽  
pp. 4128-4133 ◽  
Author(s):  
Julian Belz ◽  
Oliver Nelles
Keyword(s):  
Local Model ◽  
Input Selection ◽  
Model Network ◽  
Local Model Network
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