NDLI: Identification of Hammerstein systems using key-term separation principle, auxiliary model and improved particle swarm optimisation algorithm

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Identification of Hammerstein systems using key-term separation principle, auxiliary model and improved particle swarm optimisation algorithm

Content Provider	IET Digital Library
Author	Xu, Xiaoping Wang, Feng Liu, Guangjun Qian, Fucai
Abstract	The dynamic behaviour of many systems can be approximated by a static non-linearity in series with a linear dynamic part. Systems with static input or output non-linearities are very common in many engineering applications. Such models are known as block-oriented models in the existing literature. The Hammerstein model is a special kind of block-oriented model, where a non-linear block is followed by a linear system. This study investigates the identification of Hammerstein systems with asymmetric two-segment piecewise-linear non-linearities. The basic idea is to employ a key-term separation technique and a corresponding auxiliary model initially. Then, the identification problem of non-linear system is changed into a non-linear function optimisation problem over parameter space. Further, the estimates of all the parameters of the non-linear block, the linear subsystem and the noise part are obtained based on an improved particle swarm optimisation algorithm. Finally, simulation examples are included to demonstrate the effectiveness and robustness of the proposed identification scheme.
Starting Page	766
Ending Page	773
Page Count	8
ISSN	17519675
Volume Number	7
e-ISSN	17519683
Issue Number	Issue 8, Oct (2013)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-spr/7/8
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2013.0042
Journal	IET Signal Processing
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Auxiliary Model Block-oriented Model Hammerstein System Key-term Separation Principle Linear Dynamic Part Nonlinear And Functional Equation Nonlinear Block Nonlinear Function Nonlinear Function Optimisation Problem Nonlinear Network Analysis And Design Numerical Analysis Optimisation Technique Particle Swarm Optimisation Piecewise Linear Technique Piecewise-linear Nonlinearities Signal Processing Signal Processing And Detection Signal Processing Theory Static Nonlinearity
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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