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hammerstein-wiener-models
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Hammerstein-Wiener model: A new approach to the estimation of formal neural information
, Article Basic and Clinical Neuroscience ; Volume 3, Issue 4 , 2012 , Pages 45-51 ; 2008126X (ISSN) ; Khorsandi, R ; Vosooghi Vahdat, B ; Sharif University of Technology
Abstract
A new approach is introduced to estimate the formal information of neurons. Formal Information, mainly discusses about the aspects of the response that is related to the stimulus. Estimation is based on introducing a mathematical nonlinear model with Hammerstein-Wiener system estimator. This method of system identification consists of three blocks to completely describe the nonlinearity of input and output and linear behaviour of the model. The introduced model is trained by 166 spikes of neurons and other 166 spikes are used to test and validate the model. The simulation results show the R-Value of 92.6 % between estimated and reference information rate. This shows improvement of 1.41 % in...
Modeling and identification of highly maneuverable fighter aircraft dynamics using block-oriented nonlinear models
, Article Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering ; Volume 231, Issue 7 , 2017 , Pages 1293-1311 ; 09544100 (ISSN) ; Saghafi, F ; Sharif University of Technology
Abstract
In this paper, a new approach based on block-oriented nonlinear models for the modeling and identification of aircraft nonlinear dynamics is proposed. Some of the block-oriented nonlinear models are regarded as flexible structures, which are suitable for the identification of widely applicable dynamic systems. These models are able to approximate a wide range of system dynamics. In general, aircraft flight dynamics is considered as a nonlinear and coupled system whose dynamics - in addition to pilot control inputs - depend on the flight conditions such as Mach number and altitude, which cause the aircraft dynamics to have various operational points. In this study, three types of...
Estimation of muscle force with EMG signals using Hammerstein-Wiener model
, Article IFMBE Proceedings, 20 June 2011 through 23 June 2011 ; Volume 35 IFMBE , June , 2011 , Pages 157-160 ; 16800737 (ISSN) ; 9783642217289 (ISBN) ; Khorsandi, R ; Farzampour, S ; Zahedi, E ; Sharif University of Technology
2011
Abstract
Estimation of muscle force is needed for monitoring or control purposes in many studies and applications that include direct human involvement such as control of prosthetic arms and human-robot interaction. A new model is introduced to estimate the force of muscle from the EMG signals. Estimation is based on Hammerstein-Wiener Model which consists of three blocks. These blocks are used to describe the nonlinearity of input and output and linear behavior of the model. The nonlinear network is designed base on the sigmoid network. The introduced model is trained by some data sets which are recorded from different people and tested by some other data sets. The simulation results show low error...