Add to ORKGEarly in the twentieth century Frechet 1 showed that a large class of nonlinear time invariant systems can be represented by the functional series.........
Identification of systems which can be represented as a finite sum of factorable to Volterra kernels...
There has been considerable interest in recent years in the input-output stability of large-scale sy...
Am algorithm for the identification of non-linear systems which can be described by a Wiener model c...
Identification of nonlinear systems which can be represented by combinations of linear dynamic and s...
In the general method analysis applied to any nonlinear system depends to a large extent on the stru...
Most control systems encountered in practice are nonlinear to some extent and although it may be po...
Most systems encountered in practice are nonlinear to some extent due to inherent distortion introdu...
An alogrithm for the identification of non-linear systems which can be described by a model consisti...
Both continuous and discrete time transfer functions of nonlinear systems are analysed and interpret...
A survey of nonlinear system identification algorithms and related topics is presented by extracting...
New results for model order reduction, for weakly nonlinear systems in the frequency domain, are der...
The theory of linear systems has been developed over many years into a unified collection of results...
The nonlinear variations of constants formula is used to derive state estimates when a nonlinear sys...
An identification algorithm for systems which can be represented by a nonlinear S m model is present...
Algorithms for the identification of open and closed-loop nonlinear systems composed of linear dynam...
Identification of systems which can be represented as a finite sum of factorable to Volterra kernels...
There has been considerable interest in recent years in the input-output stability of large-scale sy...
Am algorithm for the identification of non-linear systems which can be described by a Wiener model c...
Identification of nonlinear systems which can be represented by combinations of linear dynamic and s...
In the general method analysis applied to any nonlinear system depends to a large extent on the stru...
Most control systems encountered in practice are nonlinear to some extent and although it may be po...
Most systems encountered in practice are nonlinear to some extent due to inherent distortion introdu...
An alogrithm for the identification of non-linear systems which can be described by a model consisti...
Both continuous and discrete time transfer functions of nonlinear systems are analysed and interpret...
A survey of nonlinear system identification algorithms and related topics is presented by extracting...
New results for model order reduction, for weakly nonlinear systems in the frequency domain, are der...
The theory of linear systems has been developed over many years into a unified collection of results...
The nonlinear variations of constants formula is used to derive state estimates when a nonlinear sys...
An identification algorithm for systems which can be represented by a nonlinear S m model is present...
Algorithms for the identification of open and closed-loop nonlinear systems composed of linear dynam...
Identification of systems which can be represented as a finite sum of factorable to Volterra kernels...
There has been considerable interest in recent years in the input-output stability of large-scale sy...
Am algorithm for the identification of non-linear systems which can be described by a Wiener model c...