The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper proposes an accurate and efficient strategy for identification of Hammerstein model based nonlinear systems using Craziness based Particle Swarm Optimization (CRPSO) algorithm. The closeness of estimation of the proposed CRPSO based identification scheme has been justified with the optimal value of MSE and the corresponding comparative study with the other techniques reported in earlier...
This paper presents an efficient approach for identification of fourth order nonlinear polynomial Hammerstein models using simplex particle swarm optimization (Simplex-PSO) algorithm. The accuracy of the proposed Simplex PSO based identification scheme has been justified with the optimal value of MSE and the corresponding comparative study with the other reported approaches. The statistical information...
In this paper an efficient and accurate approach for identification of Hammerstein model has been proposed using Social Emotional Optimization Algorithm (SEOA). In SEOA method, behaviour of human being for attaining superior position in society is structured. The accuracy of the proposed SEOA based identification scheme has been justified with the optimal value of MSE and their corresponding comparative...
This paper proposes an accurate and efficient approach for identification of a two stage cascaded Hammerstein model using Particle Swarm Optimization with Aging Leader and Challengers (ALC-PSO) algorithm. To enhance the computational speed and to avoid the premature convergence criteria, ALC-PSO is used. The accuracy and the precision of the proposed ALC-PSO based identification scheme have been justified...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.