Genetic algorithm based structure identification for feedback control of nonlinear mimo systems
Choice of the architecture of the neural network makes it possible to find its optimal structure
for the control of nonlinear multi-input multi-output (MIMO) systems using the linearization …
for the control of nonlinear multi-input multi-output (MIMO) systems using the linearization …
Structure identification of nn-anarx model by genetic algorithm with combined cross-correlation-test based evaluation function
Application of genetic algorithm to determine structure of Neural Networks based Additive
Nonlinear eXogenous (NN-ANARX) model and if possible to simplify the architecture of …
Nonlinear eXogenous (NN-ANARX) model and if possible to simplify the architecture of …
[图书][B] Restricted Connectivity Neural Networks Based Identification for Control
K Vassiljeva - 2012 - digikogu.taltech.ee
In a field of system engineering process control is a traditional area which is of great
practical importance. Control usually involves methods from various fields: dynamic …
practical importance. Control usually involves methods from various fields: dynamic …
Application of genetic algorithms to neural networks based control of a liquid level tank system
K Vassiljeva, J Belikov… - 2014 International Joint …, 2014 - ieeexplore.ieee.org
In this paper, a design of a controller based on the NN-SANARX (Neural Network based
Simplified Additive Autoregressive exogenous) model is considered on the basis of a …
Simplified Additive Autoregressive exogenous) model is considered on the basis of a …
[PDF][PDF] Neural Networks based Identification for Control
This paper raises the issue of finding re-duced/minimal state-space form for MIMO systems
based on neural networks. Two cases are studied: when system is given as a” black-box” …
based on neural networks. Two cases are studied: when system is given as a” black-box” …