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Nonlinear system identification

System identification is a method of identifying or measuring the mathematical model of a system from measurements of the system inputs and outputs… 
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Related topics

Related topics

19 relations
ApproximationArtificial neural networkBifurcation theoryBig data

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
Forecasting Of Type-2 Fuzzy Electric Power System Based On Phase Space Reconstruction Model
Type-2 fuzzy logic to make up for the lack of a type of fuzzy logic in dealing with uncertainty, object contains uncertainty is… 
2008
2008
Neuro-Fuzzy Algorithm for a Biped Robotic System
— This paper summaries basic principles and concepts of intelligent controls, implemented in humanoid robotics as well as recent… 
2007
2007
A comparative study on global wavelet and polynomial models for non-linear regime-switching systems
A comparative study of wavelet and polynomial models for non-linear Regime-Switching (RS) systems is carried out. RS systems… 
2007
2007
Nullneurons-Based Hybrid Neurofuzzy Network
In this paper we introduce design and learning schemes for hybrid neurofuzzy networks based on nullneurons. A nullneuron is a… 
2006
2006
Nonlinear system identification on a combine harvester
The traction system of a combine harvester contains considerable nonlinearities. The objective of this paper is to derive a model… 
2006
2006
A Joint Stochastic Gradient Algorithm and Its Application to System Identification with RBF Networks
Mean-square-error (MSE) and minimum-error-entropy (MEE) criteria play significant roles in adaptive filtering and learning theory… 
2005
2005
NONLINEAR SYSTEMS IDENTIFICATION USING THE VOLTERRA MODEL
: Nonlinear adaptive filtering techniques are widely used for the nonlinearities identification in manny applications. This paper… 
Review
2004
Review
2004
Advances in Nonlinear System Identification
The recent approaches in nonlinear system identification are surveyed. T he multi-level recursive identification method and some… 
1994
1994
Sampling frequency requirements for identification and compensation of nonlinear systems
Nonlinear systems usually cause spectral spreading resulting in an output signal bandwidth that is greater than the input signal… 
1985
1985
Rusty Bolt EMC Specification Based on Nonlinear System Identification
There is a recognized interference problem in dense electronic platforms due to harmonic and inter-modula­ tion interference… 
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