[PDF][PDF] Using genetic algorithms in system identification
E Vladu, TL Dragomir - 6th international symposium of …, 2005 - conf.uni-obuda.hu
A system identification problem can be formulated as an optimization task where the
objective is to find a model and a set of parameters that minimize the prediction error …
objective is to find a model and a set of parameters that minimize the prediction error …
[PDF][PDF] Enhancing human motion perception in model predictive motion cueing algorithm
A Mohammadi - 2018 - dro.deakin.edu.au
In this research, the predictive motion cueing algorithm has been optimized for improving a
human driver sensation based on the mathematical model. The Model Predictive Control …
human driver sensation based on the mathematical model. The Model Predictive Control …
[PDF][PDF] Modeling and control of multivariable distillation column using model predictive control using Unisim
A Wahid, R Adi - Sinergi, 2016 - download.garuda.kemdikbud.go.id
Distillation columns are widely used in chemical industry as unit operation and required
advance process control because it has multi input multi output (MIMO) or multi-variable …
advance process control because it has multi input multi output (MIMO) or multi-variable …
[PDF][PDF] Nonlinear system identification using evolutionary computing based training schemes
S Swayamsiddha, HP Thethi - International Journal of Computer …, 2013 - academia.edu
The present work deals with application of recently developed evolutionary computing
based training methods for non-linear system identification problem. Generally, most of the …
based training methods for non-linear system identification problem. Generally, most of the …