Identification of hammerstain model using stochastic perturbation simultaneous approximation
This project study an identification of continuous Hammerstein based on simultaneous Perturbation Stochastic Approximation (SPSA). Furthermore, the Identification is done using MATLAB Simulink to simulate the Hammerstein Model. The structure of non-linear is assumed to be completely unknown. However...
Similar Items
-
Identification of Continuous-Time Hammerstein Systems by Simultaneous Perturbation Stochastic Approximation
by: Mohd Ashraf, Ahmad, et al.
Published: (2016) -
Using normalized simultaneous perturbation stochastic approximation for stable convergence in model-free control scheme
by: Mohd Ashraf, Ahmad, et al.
Published: (2018) -
A Model-Free PID Tuning to Slosh Control Using Simultaneous Perturbation Stochastic Approximation
by: M. A., Ahmad, et al.
Published: (2015) -
Simultaneous computation of model order and parameter estimation for system identification based on opposition-based simulated Kalman filter
by: Badaruddin, Muhammad, et al.
Published: (2018) -
Simultaneous Computation of Model Order and Parameter Estimation for System Identification Based on Gravitational Search Algorithm
by: Kamil Zakwan, Mohd Azmi, et al.
Published: (2015)