Algorithms for the identification of open and closed-loop nonlinear systems composed of linear dynamic and static nonlinear elements are developed. It is shown that correlation analysis based upon compound pseudorandom inputs provides estimates of the individual component subsystems, The selection of pseudorandom inputs is discussed and simulated examples are included
Estimation errors introduced in the identification of nonlinear systems are analysed. The influence ...
In the last few years a great deal of attention has been devoted to detecting and to a certain exten...
Correlation techniques for the identification of nonlinear systems are discussed in Chapter 1. The V...
Algorithms for the identification of open and closed-loop nonlinear systems composed of linear dynam...
Most control systems encountered in practice are nonlinear to some extent and although it may be po...
Identification of nonlinear systems which can be represented by combinations of linear dynamic and s...
An identification algorithm for systems which can be represented by a nonlinear S m model is present...
An alogrithm for the identification of non-linear systems which can be described by a model consisti...
A survey of nonlinear system identification algorithms and related topics is presented by extracting...
Am algorithm for the identification of non-linear systems which can be described by a Wiener model c...
An algorithm for the identification of non-linear systems which can be described by a Hammerstein mo...
This thesis is concerned with the measurement of the characteristics of nonlinear systems by crossco...
In the general method analysis applied to any nonlinear system depends to a large extent on the stru...
The analysis and identification of separable nonlinear single valued systems is carried out from a f...
Identification of systems which can be represented as a finite sum of factorable to Volterra kernels...
Estimation errors introduced in the identification of nonlinear systems are analysed. The influence ...
In the last few years a great deal of attention has been devoted to detecting and to a certain exten...
Correlation techniques for the identification of nonlinear systems are discussed in Chapter 1. The V...
Algorithms for the identification of open and closed-loop nonlinear systems composed of linear dynam...
Most control systems encountered in practice are nonlinear to some extent and although it may be po...
Identification of nonlinear systems which can be represented by combinations of linear dynamic and s...
An identification algorithm for systems which can be represented by a nonlinear S m model is present...
An alogrithm for the identification of non-linear systems which can be described by a model consisti...
A survey of nonlinear system identification algorithms and related topics is presented by extracting...
Am algorithm for the identification of non-linear systems which can be described by a Wiener model c...
An algorithm for the identification of non-linear systems which can be described by a Hammerstein mo...
This thesis is concerned with the measurement of the characteristics of nonlinear systems by crossco...
In the general method analysis applied to any nonlinear system depends to a large extent on the stru...
The analysis and identification of separable nonlinear single valued systems is carried out from a f...
Identification of systems which can be represented as a finite sum of factorable to Volterra kernels...
Estimation errors introduced in the identification of nonlinear systems are analysed. The influence ...
In the last few years a great deal of attention has been devoted to detecting and to a certain exten...
Correlation techniques for the identification of nonlinear systems are discussed in Chapter 1. The V...