Dual Adaptive ANN Controllers Based on Wiener Models for Controlling Stable Nonlinear Systems

2006 ◽  
pp. 860-867
Author(s):  
D. Sbarbaro
Keyword(s):  
Nonlinear Systems ◽  
Wiener Models

Adaptive discrete-time sliding-mode control of nonlinear systems described by Wiener models

2015 ◽  
Vol 89 (3) ◽  
pp. 611-622 ◽  
Author(s):  
Houda Salhi ◽  
Samira Kamoun ◽  
Najib Essounbouli ◽  
Abdelaziz Hamzaoui
Keyword(s):  
Nonlinear Systems ◽  
Sliding Mode Control ◽  
Discrete Time ◽  
Sliding Mode ◽  
Mode Control ◽  
Wiener Models

scholarly journals Combined Parameter and State Estimation Algorithms for Multivariable Nonlinear Systems Using MIMO Wiener Models

2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Houda Salhi ◽  
Samira Kamoun
Keyword(s):  
Parameter Estimation ◽  
Nonlinear Systems ◽  
State Estimation ◽  
Internal Variables ◽  
Decomposition Technique ◽  
Parameter Estimation Problem ◽  
Filter Theory ◽  
Estimation Algorithms ◽  
Wiener Models ◽  
Multivariable Nonlinear Systems

This paper deals with the parameter estimation problem for multivariable nonlinear systems described by MIMO state-space Wiener models. Recursive parameters and state estimation algorithms are presented using the least squares technique, the adjustable model, and the Kalman filter theory. The basic idea is to estimate jointly the parameters, the state vector, and the internal variables of MIMO Wiener models based on a specific decomposition technique to extract the internal vector and avoid problems related to invertibility assumption. The effectiveness of the proposed algorithms is shown by an illustrative simulation example.

Identification of Continuous-time Nonlinear Systems via Local Gaussian Process Models

2014 ◽  
Vol 134 (11) ◽  
pp. 1708-1715
Author(s):  
Tomohiro Hachino ◽  
Kazuhiro Matsushita ◽  
Hitoshi Takata ◽  
Seiji Fukushima ◽  
Yasutaka Igarashi
Keyword(s):  
Nonlinear Systems ◽  
Gaussian Process ◽  
Continuous Time ◽  
Process Models ◽  
Gaussian Process Models

Modeling of Nonlinear Systems using Genetic Algorithm

2012 ◽  
Vol 132 (6) ◽  
pp. 913-918 ◽  
Author(s):  
Kayoko Hayashi ◽  
Toru Yamamoto ◽  
Kazuo Kawada
Keyword(s):  
Genetic Algorithm ◽  
Nonlinear Systems
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