Proceedings of the conference on Design, automation and test in Europe - Volume 1
Adaptive nonlinear system identification in the short-time fourier transform domain
IEEE Transactions on Signal Processing
CCDC'09 Proceedings of the 21st annual international conference on Chinese Control and Decision Conference
Modeling and identification of nonlinear systems in the short-time fourier transform domain
IEEE Transactions on Signal Processing
Identification methods for Hammerstein nonlinear systems
Digital Signal Processing
Neural networks and cascade modeling technique in system identification
TAINN'05 Proceedings of the 14th Turkish conference on Artificial Intelligence and Neural Networks
Identification of MIMO Hammerstein models using least squares support vector machines
Automatica (Journal of IFAC)
Mathematical and Computer Modelling: An International Journal
Bounded error identification of Hammerstein systems through sparse polynomial optimization
Automatica (Journal of IFAC)
Modeling and H∞ robust control of a smart structure with rate-dependent hysteresis nonlinearity
International Journal of Automation and Computing
Hi-index | 35.69 |
This paper discusses the Hammerstein model identification using a blind approach. By fast sampling at the output, it is shown that identification of the linear part can be achieved based only on the output measurements that makes the Hammerstein model identification possible without knowing the structure of the nonlinearity and the internal variables