Journal ArticleDOI
An iterative method for the identification of nonlinear systems using a Hammerstein model
Kumpati S. Narendra,P. Gallman +1 more
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In this article, an iterative method is proposed for the identification of nonlinear systems from samples of inputs and outputs in the presence of noise, which consists of a no-memory gain (of an assumed polynomial form) followed by a linear discrete system.Abstract:
An iterative method is proposed for the identification of nonlinear systems from samples of inputs and outputs in the presence of noise. The model used for the identification consists of a no-memory gain (of an assumed polynomial form) followed by a linear discrete system. The parameters of the pulse transfer function of the linear system and the coefficients of the polynomial non-linearity are alternately adjusted to minimize a mean square error criterion. Digital computer simulations are included to demonstrate the feasibility of the technique.read more
Citations
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Proceedings ArticleDOI
Hyperadaptive Control of Heavily Damaged Autonomous Airdrop Systems
TL;DR: This work details the theory and application of a hyperadaptive algorithm for the estimation and control of a parafoil and payload system through the implementation of a Hammerstein model, which allows for dynamic and steady state characterization for accurate landings at various levels of system damage.
Journal ArticleDOI
Identification and Modeling of Nonlinear Dynamical Systems Using Volterra Functional Series
Katsuhiko Fujii,Kazuo Nakao +1 more
Proceedings ArticleDOI
Modeling of contaminant advection-diffusion process based on Hammerstein model
Deng-Yin Jiang,Li-Sheng Hu +1 more
TL;DR: In this paper, the authors investigated the modeling of liquid contaminant fluid dynamics for the associated emission-diffusion process induced by environmental changes and investigated recursive identification of Hammerstein structures.
Journal ArticleDOI
Hammerstein system with a stochastic input of arbitrary/unknown autocorrelation – nonparametric estimator of the static nonlinear subsystem
Book ChapterDOI
Block Structured Modelling in the Study of the Stretch Reflex
TL;DR: Nonlinear system identification has a long history in several disciplines related to biomedical engineering, and a large number of researchers have the tools to investigate a wide variety of nonlinear dynamical systems, particularly in the area of sensory physiology.
References
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Journal ArticleDOI
A technique for the identification of linear systems
Kenneth Steiglitz,L. McBride +1 more
TL;DR: In this paper, an iterative technique is proposed to identify a linear system from samples of its input and output in the presence of noise by minimizing the mean-square error between system and model outputs.
Journal ArticleDOI
On the Identification Problem
TL;DR: In this paper, the identification of zero-memory multipoles and two-poles of class n_1 was studied, where the test signals are sine waves of different amplitudes and frequencies, and the measured quanity is the describing function of the device.