In practice, many systems are modeled by first and second order models including a time delay. These low-order models can often be used to describe the most important and characteristic features of a system and be a base for control design. In industry, it is important to have fast, reliable, and easily applicable methods for estimating the parameters in such models. It is well-known that, for practical reasons, many systems can not be excited by an arbitrary input signal. However, a pulse-shaped input signal can most often be used. The aim with this thesis project is to study identification of low-order models based on pulse-shaped input signals
When system identification methods are used to construct mathematical models of real systems, it is ...
This article describes a new frequency- domain multi-input multioutput linear time-invariant (LTI) s...
This thesis is concerned with a method to automatically identify parameters of an unknown or changin...
In practice, many systems are modeled by first and second order models including a time delay. These...
Based on a closed-loop step response test, control-oriented low-order model identification algorithm...
Based on a closed-loop step response test, a model identification method is proposed for integrating...
A comparative study of methods used for identification of Linear-Time-Invariant (LTI) systems based ...
In system identification, different methods are often classified as parametric or non-parametric met...
Step response test is widely practiced for model identification in process industry. A frequency dom...
In this paper, we propose an identification method to estimate the second order plus time delay (SOP...
Motivated by the fact that integrating and unstable processes are usually operated in a closed-loop ...
AbstractA new approach for time-delay identification is proposed in linear controlled systems. The d...
In this thesis, the use of low-rank approximations in connection with problems in system identificat...
Nonsteady initial process states, measurement noise and unexpected load disturbance are practical di...
The modification of identification method for linear systems by pulse response that extends its use ...
When system identification methods are used to construct mathematical models of real systems, it is ...
This article describes a new frequency- domain multi-input multioutput linear time-invariant (LTI) s...
This thesis is concerned with a method to automatically identify parameters of an unknown or changin...
In practice, many systems are modeled by first and second order models including a time delay. These...
Based on a closed-loop step response test, control-oriented low-order model identification algorithm...
Based on a closed-loop step response test, a model identification method is proposed for integrating...
A comparative study of methods used for identification of Linear-Time-Invariant (LTI) systems based ...
In system identification, different methods are often classified as parametric or non-parametric met...
Step response test is widely practiced for model identification in process industry. A frequency dom...
In this paper, we propose an identification method to estimate the second order plus time delay (SOP...
Motivated by the fact that integrating and unstable processes are usually operated in a closed-loop ...
AbstractA new approach for time-delay identification is proposed in linear controlled systems. The d...
In this thesis, the use of low-rank approximations in connection with problems in system identificat...
Nonsteady initial process states, measurement noise and unexpected load disturbance are practical di...
The modification of identification method for linear systems by pulse response that extends its use ...
When system identification methods are used to construct mathematical models of real systems, it is ...
This article describes a new frequency- domain multi-input multioutput linear time-invariant (LTI) s...
This thesis is concerned with a method to automatically identify parameters of an unknown or changin...