Identification of continuous-time Hammerstein systems by simultaneous perturbation stochastic approximation

Author:

Ahmad Mohd Ashraf,Azuma Shun-ichi,Sugie Toshiharu

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference52 articles.

1. Identification of continuous-time Hammerstein models using simultaneous perturbation stochastic approximation;Ahmad,2014

2. Performance analysis of model-free PID tuning of MIMO systems based on simultaneous perturbation stochastic approximation;Ahmad;Expert Systems with Applications,2014

3. Controller design for optimizing fuel consumption of hybrid electric vehicles: a model-free approach based on simultaneous perturbation stochastic approximation;Baba;Transactions of the Society of Instrument and Control Engineers,2013

4. Frequency domain identification of Hammerstein models;Bai;IEEE Transactions on Automatic Control,2003

5. Decoupling the linear and nonlinear parts in hammerstein model identification;Bai;Automatica,2004

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