Dynamic System Identification Using Adaptive Algorithm

Name: Dynamic System Identification Using Adaptive Algorithm
Brand: Scholars Press
SKU: 9783330651968
Price: 1180 CZK
Availability: InStock

Autor: Saikat Singha Roy

Jazyk:

Vazba: Brožovaná

Vydavatel: Scholars Press

Dostupnost: Skladem u dodavatele

Odesíláme za 5-8 dnů

1 180 Kč

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

Informace o knize

Autor

Saikat Singha Roy

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2017

Stránek

EAN

9783330651968

Enbook ID

16499560

Vydavatel

Scholars Press

Hmotnost

155

Rozměry

150 x 220 x 6

Kompletní popis

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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Dynamic System Identification Using Adaptive Algorithm

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