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Dynamic System Identification Using Adaptive Algorithm

Name: Dynamic System Identification Using Adaptive Algorithm
Brand: Scholars Press
SKU: 16499560
Price: 20711 HUF
Availability: InStock
Author: Saikat Singha Roy
ISBN: 9783330651968

Saikat Singha Roy

Language

English

Book Paperback

Libristo code: 16499560

Publishers Scholars Press, November 2016

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

Libristo code: 16499560

141 b

20 711 Ft

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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.