[PDF] Top 20 Identification of nonlinear systems
Has 10000 "Identification of nonlinear systems" found on our website. Below are the top 20 most common "Identification of nonlinear systems".
Identification of nonlinear systems
... the nonlinear case, there are no compact expressions for the gradient ...the nonlinear closed-loop operator and the stability of the predictor at each ... See full document
136
Parameter Identification of Nonlinear Systems with Time delay Based on the Multi innovation Stochastic Gradient Algorithm
... many nonlinear systems, identification and construction of delay system models from experimental data have great value in control ...of nonlinear systems with nonlinear ... See full document
6
Identification of nonlinear systems with non-persistent excitation using an iterative forward orthogonal least squares regression algorithm
... identify nonlinear systems which may not be persistently ...detection, nonlinear system identification, non-persistence, orthogonal forward regression, iterative learning algorithm, OFR ... See full document
14
Identification of nonlinear systems using generalized kernel models
... discrete-time nonlinear systems has been considered using a generalized kernel regression model struc- ...for nonlinear systems, compared with the standard kernel model ...proposed ... See full document
11
Computational system identification of continuous-time nonlinear systems using approximate Bayesian computation
... system identification framework for continuous-time nonlinear systems, for the first time using a simulation-focused computational Bayesian ...system identification have been shown to ... See full document
15
Bayesian System Identification of MDOF Nonlinear Systems using Highly Informative Training Data
... The aim of this paper is to utilise the concept of ‘highly informative training data’ such that, using Markov chain Monte Carlo (MCMC) methods, one can apply Bayesian system identification to multi-degree-of- ... See full document
10
Bayesian System Identification of Nonlinear Systems: Informative Training Data through Experimental Design
... ABSTRACT: This paper addresses the situation where one is performing Bayesian system identification on a nonlinear dynamical system using a set of experimentally-obtained training data. To be more specific, ... See full document
7
Stabilization and identification of nonlinear systems
... As seen in the introduction, the study of coprime factorizations of linear systems leads to a theory giving the class of all stabilizing controllers for a linear plant, the class of plan[r] ... See full document
160
Structures, Fields and Methods of Identification of Nonlinear Static Systems in the Conditions of Uncertainty
... structural identification basically, based on correlative and an analysis of variance ...to identification of nonlinear ...cation systems genetic algorithms [4-6] are widely ap- ...of ... See full document
9
Time varying Forgetting Factor Stochastic Gradient Algorithm for Nonlinear Systems with Color Noise
... the identification of nonlinear systems with color noise, and introduces a new time-varying forgetting factor based stochastic gradient (TVFF-SG) algorithm to estimate the system ... See full document
6
Identification of continuous-time models for nonlinear dynamic systems from discrete data
... System identification involves two coupled problems: the detection of the model structure and estimation of the ...system identification searches for a solution in the Cartesian product of the set of ... See full document
22
Investigation of normal vision and neuro-ophthalmic disorders using nonlinear systems identification methods
... Xl Figure 1.2 Examples of the temporal modulation of a single region 103 Figure 1.3 Response nomenclature 107 Figure 1.4 Multifocal responses in µV obtained for subject 004 112 Figure 1.[r] ... See full document
280
Identification & control of nonlinear systems
... Both recursive and direct algorithms are developed using either an unbiased or minimum mean square error criterion to obtain estimates of the Fourier transform and the power spectrum den[r] ... See full document
252
Least squares-based iterative identification methods for linear-in-parameters systems using the decomposition technique
... system identification [13, 31, 33], system optimization [16, 24] and state and data filtering [14, 19, ...system identification [5, 6] and many identification methods have been developed for linear ... See full document
15
On the Fuzzy Regulation of Non Linear Discrete-time Systems Affine in the Control
... synthesis systems and nonlinear controllers ...of identification and fuzzy control ...discrete nonlinear systems affine in ...discrete nonlinear systems in the description ... See full document
8
Analysis, Synthesis, and Classification of Nonlinear Systems Using Synchronized Swept-Sine Method for Audio Effects
... 4.1. Computing Complexity versus Accuracy. The choice of the number of branches N of the GPH model is a key param- eter which may influence the accuracy of the identification. The higher the value of N the higher ... See full document
8
Limit Cycle Identification in Nonlinear Polynomial Systems
... mial systems or non-polynomial limit cycles by immer- ...in nonlinear systems by adding new state ...non-polynomial systems that are convertible via ...common nonlinear terms, ... See full document
8
Identification problems for systems of nonlinear evolution equations and functional equations
... for systems of nonlinear differential and differential-difference evolution ...some systems of functional equations by using the given data and then we obtained the solutions by the tools in ... See full document
8
Neighbourhood detection and indentification of spatio-temporal dynamical systems using a coarse-to-fine approach
... the identification of local CML models from spatio-temporal observations have already been proposed (Coca and Billings 2001, Billings and Coca 2002, Mandelj, Grabec and Govekar 2001, Marcos-Nikolaus, ... See full document
27
Identification of Linear and Nonlinear Parameters for Systems with Local Non Linearity
... of nonlinear structures, there is a common type that the nonlinearities of the system are caused by several local ...and nonlinear parts of the system and thus makes it possible to utilize some ... See full document
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