Features of the Jacobian matrix of the delay coordinates map are exploited for quantifying the robustness and reliability of state and parameter estimations for a given dynamical model using a measured time series. Relevant concepts of this approach are introduced and illustrated for discrete and continuous time systems employing a filtered Henon map and a Rossler system
This thesis is concerned with the problem of state and parameter estimation in nonlinear systems. Th...
In most applications in control engineering a measurement of all state variables is either impossibl...
For non-linear time-variable systems under disturbances sufficient conditions for X observabilityand...
Features of the Jacobian matrix of the delay coordinates map are exploited for quantifying the robus...
Observability of state variables and parameters of a dynamical system from an observed time series i...
In this short note, the problem of locally reconstructing the state of a nonlinear system is studied...
There are many instances in which time series measurements are used to derive an empirical model of ...
Data obtained from time series analysis has been used for a number of years for the characterization...
Transferring information from observations to models of complex systems may meet impediments when th...
The problem of state estimation for nonlinear systems with unknown state or measurement delays is st...
In data-driven system identification, values of parameters and not observed variables of a given mod...
Abstract: We consider the problem of quality evaluation for delay reconstruction of chaoti...
In this paper, we consider the problem of state estimation for nonlinear systems when the ou...
Novel nonlinear predictors are studied for nonlinear systems with delayed measurements without assum...
This paper considers the state estimation of linear discrete-time systems with uncertain-delayed obs...
This thesis is concerned with the problem of state and parameter estimation in nonlinear systems. Th...
In most applications in control engineering a measurement of all state variables is either impossibl...
For non-linear time-variable systems under disturbances sufficient conditions for X observabilityand...
Features of the Jacobian matrix of the delay coordinates map are exploited for quantifying the robus...
Observability of state variables and parameters of a dynamical system from an observed time series i...
In this short note, the problem of locally reconstructing the state of a nonlinear system is studied...
There are many instances in which time series measurements are used to derive an empirical model of ...
Data obtained from time series analysis has been used for a number of years for the characterization...
Transferring information from observations to models of complex systems may meet impediments when th...
The problem of state estimation for nonlinear systems with unknown state or measurement delays is st...
In data-driven system identification, values of parameters and not observed variables of a given mod...
Abstract: We consider the problem of quality evaluation for delay reconstruction of chaoti...
In this paper, we consider the problem of state estimation for nonlinear systems when the ou...
Novel nonlinear predictors are studied for nonlinear systems with delayed measurements without assum...
This paper considers the state estimation of linear discrete-time systems with uncertain-delayed obs...
This thesis is concerned with the problem of state and parameter estimation in nonlinear systems. Th...
In most applications in control engineering a measurement of all state variables is either impossibl...
For non-linear time-variable systems under disturbances sufficient conditions for X observabilityand...