This paper establishes a connection between the unknown input observer problem (also known as the exact input-decoupling filtering problem) and the Kalman filtering problem. Such a connection leads to a better understanding of filtering. As a consequence of this, tools for the analysis as well as synthesis of filters can be developed. Moreover, such tools can be utilized to establish performance limitations of Kalman filtering as related to the structural properties of the given system
Filtering of linear dynamical systems has historically been accomplished through the application of ...
The Kalman filter is the general solution to the recursive, minimised mean square estimation problem...
The core of this paper deals with the construction of input-decoupled observers which seek asymptoti...
This paper establishes a connection between the unknown input observer problem (also known as the ex...
This paper establishes a connection between the unknown input observer problem (also known as the ex...
For linear time invariant continuous-time systems with either unknown or white noise input, two well...
The standard $H_2$ optimal filtering problem considers the estimation of a certain output based on t...
The standard $H_2$ optimal filtering problem considers the estimation of a certain output based on t...
The standard H/sub 2/ optimal filtering problem considers the estimation of a certain output based o...
In the literature on filter design, the system whose state has to be estimated is usually assumed kn...
Filtering of linear dynamical systems has historically been accomplished through the application of ...
The Kalman filter is the general solution to the recursive, minimised mean square estimation problem...
The core of this paper deals with the construction of input-decoupled observers which seek asymptoti...
This paper establishes a connection between the unknown input observer problem (also known as the ex...
This paper establishes a connection between the unknown input observer problem (also known as the ex...
For linear time invariant continuous-time systems with either unknown or white noise input, two well...
The standard $H_2$ optimal filtering problem considers the estimation of a certain output based on t...
The standard $H_2$ optimal filtering problem considers the estimation of a certain output based on t...
The standard H/sub 2/ optimal filtering problem considers the estimation of a certain output based o...
In the literature on filter design, the system whose state has to be estimated is usually assumed kn...
Filtering of linear dynamical systems has historically been accomplished through the application of ...
The Kalman filter is the general solution to the recursive, minimised mean square estimation problem...
The core of this paper deals with the construction of input-decoupled observers which seek asymptoti...