We examine the problem of discrete time system estimation while not ignoring the underlying continuous time system. This leads to the use of a new discrete time operator, the ffi operator, which approximates the continuous time derivative operator d dt . We use this to formulate system estimation algorithms, and discuss their significantly superior numerical properties when compared to the equivalent shift operator formulated algorithms. We provide an overview of this new ffi operator and also discuss some practical considerations in recursive least squares parameter estimation. 1 Introduction Discrete time system analysis is usually done using the q forward shift operator and associated discrete frequency variable z. Unfortunately, the d...
This paper proposes a state variable filter approach to continuous time system identification. Two t...
This thesis is concerned with the estimation of parameters in continuous-time systems, when the ava...
This lecture surveys the recent literature on estimating continuous-time models using discrete obser...
Approaching parameter estimation from the discrete-time domain is the dominating paradigm in system ...
Approaching parameter estimation from the discrete-time domain is the dominating paradigm in system ...
This thesis presents an investigation into the identification and analysis of and non-linear fast-sa...
The problem of estimating continuous--time stochastic models from discrete-- time data is addressed....
This paper examines two classes of algorithms that estimate a continuous time ARX type of models fro...
An identification method based on standard recursive least squares for the estimation of time delay ...
Approaching parameter estimation from the discrete-time domain is the dominating paradigm in system ...
An identification method based on standard recursive least squares for the estimation of time delay ...
An identification method based on standard recursive least squares for the estimation of time delay ...
An identification method based on standard recursive least squares for the estimation of time delay ...
An identification method based on standard recursive least squares for the estimation of time delay ...
The paper deals with the problem of continuous-time (CT) identification of parameters in transfer fu...
This paper proposes a state variable filter approach to continuous time system identification. Two t...
This thesis is concerned with the estimation of parameters in continuous-time systems, when the ava...
This lecture surveys the recent literature on estimating continuous-time models using discrete obser...
Approaching parameter estimation from the discrete-time domain is the dominating paradigm in system ...
Approaching parameter estimation from the discrete-time domain is the dominating paradigm in system ...
This thesis presents an investigation into the identification and analysis of and non-linear fast-sa...
The problem of estimating continuous--time stochastic models from discrete-- time data is addressed....
This paper examines two classes of algorithms that estimate a continuous time ARX type of models fro...
An identification method based on standard recursive least squares for the estimation of time delay ...
Approaching parameter estimation from the discrete-time domain is the dominating paradigm in system ...
An identification method based on standard recursive least squares for the estimation of time delay ...
An identification method based on standard recursive least squares for the estimation of time delay ...
An identification method based on standard recursive least squares for the estimation of time delay ...
An identification method based on standard recursive least squares for the estimation of time delay ...
The paper deals with the problem of continuous-time (CT) identification of parameters in transfer fu...
This paper proposes a state variable filter approach to continuous time system identification. Two t...
This thesis is concerned with the estimation of parameters in continuous-time systems, when the ava...
This lecture surveys the recent literature on estimating continuous-time models using discrete obser...