B-splines neural network assisted PID autotuning

This papers describes an extantion of previous works on the subject of neural network proportional, integral and derivative (PID) autotuning. Basically, neural networks are employed to supply the three PID parameters, according to the integral of time multiplied by the absolute error (ITAE) criterio...

Full description

Bibliographic Details
Main Author: Ruano, Antonio (author)
Other Authors: Azevedo, Ana Beatriz da Piedade de (author)
Format: article
Language:eng
Published: 2013
Subjects:
PID autotuning
Neural networks
B-splines
Genetic algorithms
Adaptive systems
Online Access:http://hdl.handle.net/10400.1/2201
Country:Portugal
Oai:oai:sapientia.ualg.pt:10400.1/2201
Description
Summary:This papers describes an extantion of previous works on the subject of neural network proportional, integral and derivative (PID) autotuning. Basically, neural networks are employed to supply the three PID parameters, according to the integral of time multiplied by the absolute error (ITAE) criterion, to a standard PID controller.

Similar Items