Dynamic System Identification Using Adaptive Algorithm

Name: Dynamic System Identification Using Adaptive Algorithm
Brand: Scholars Press
SKU: 9783330651968
Price: 288.48 RON
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Autor: Saikat Singha Roy

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Editura: Scholars Press

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Over the latest few years the part of System Identification has drawn interest of numerous researche...

Informații despre carte

Autor

Saikat Singha Roy

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2017

Pagini

EAN

9783330651968

Enbook ID

16499560

Editura

Scholars Press

Greutate

155

Dimensiuni

150 x 220 x 6

Descriere completă

Over the latest few years the part of System Identification has drawn interest of numerous researchers due to its wide applicability to different fields. Adaptive direct modeling or system identification and adaptive inverse modeling or channel equalization find extensive applications in telecommunication, control system, instrumentation, power system engineering and geophysics. The identification task becomes very difficult, if the plants or systems are nonlinear and dynamic in nature. Further, the existing conventional methods like the least mean square (LMS) algorithms do not provide suitable training to build up precise direct and inverse models. Very often these (LMS) derivative based algorithms do not lead to optimal solutions in pole-zero and Hammerstein type system identification problem as they have tendency to be trapped by local minima. To overcome this problem, in this book the Genetic algorithm (GA), Bacterial Foraging Optimization (BFO) and differential evolution (DE) technique has been properly applied to develop a latest model for efficient identification of nonlinear dynamic system.

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