Add to ORKGNon-linearity detection in dynamic systems is a fundamental issue in non-linear system identification. This problem is treated with the aid of the perturbation technique. A criterion for the detection of even non-linearities is developed in terms of the third-order cumulants of vector stochastic processes
Abstract—We describe a method for investigating non-linearity in irregular fluctuations of time seri...
Most control systems encountered in practice are nonlinear to some extent and although it may be po...
Informally a discrete time series is a set of repeated and, normally, equally spaced observations fr...
Non-linearity detection in dynamic systems is a fundamental issue in non-linear system identificatio...
Non-linearity detection in dynamic systems is a fundamental issue in non-linear system identificatio...
The identification of nonlinear dynamic systems can be rendered significantly more parsimonious if t...
The main purpose of this paper is a study of the efficiency of different nonlinearity detection meth...
Non-linearity induced oscillations in control loops are characterized by the presence of higher orde...
In this chapter, we review the problem of testing for nonlinearity in time series. First, we discuss...
A general, statistically-based framework based on higher-order cumulant spectra is developed for non...
Algorithms for the identification of open and closed-loop nonlinear systems composed of linear dynam...
Algorithms for the identification of open and closed-loop nonlinear systems composed of linear dynam...
An identification algorithm for systems which can be represented by a nonlinear S m model is present...
The problem of non-linear data is one of the oldest in experimental science. The solution to this pr...
Detection and classification of nonlinearities in motion systems becomes of increasing importance wi...
Abstract—We describe a method for investigating non-linearity in irregular fluctuations of time seri...
Most control systems encountered in practice are nonlinear to some extent and although it may be po...
Informally a discrete time series is a set of repeated and, normally, equally spaced observations fr...
Non-linearity detection in dynamic systems is a fundamental issue in non-linear system identificatio...
Non-linearity detection in dynamic systems is a fundamental issue in non-linear system identificatio...
The identification of nonlinear dynamic systems can be rendered significantly more parsimonious if t...
The main purpose of this paper is a study of the efficiency of different nonlinearity detection meth...
Non-linearity induced oscillations in control loops are characterized by the presence of higher orde...
In this chapter, we review the problem of testing for nonlinearity in time series. First, we discuss...
A general, statistically-based framework based on higher-order cumulant spectra is developed for non...
Algorithms for the identification of open and closed-loop nonlinear systems composed of linear dynam...
Algorithms for the identification of open and closed-loop nonlinear systems composed of linear dynam...
An identification algorithm for systems which can be represented by a nonlinear S m model is present...
The problem of non-linear data is one of the oldest in experimental science. The solution to this pr...
Detection and classification of nonlinearities in motion systems becomes of increasing importance wi...
Abstract—We describe a method for investigating non-linearity in irregular fluctuations of time seri...
Most control systems encountered in practice are nonlinear to some extent and although it may be po...
Informally a discrete time series is a set of repeated and, normally, equally spaced observations fr...