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Bilinear PMOR method: Difference between revisions

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The model reduction method we present here is applicable to linear parameter-varying (LPV) systems of the form
 
<center>
<math>
\dot{x}(t)=Ax(t) + \sum_{i=1}^d p_i(t)A_i x(t)+B_0u_0(t),\quad y(t)=Cx(t),
</math>
</center>
 
where
<math>
A,A_i \in \mathbb R^{n\times n}, B_0 \in \mathbb R^{n\times m}
</math>
and
<math>  C \in \mathbb R^{p\times n}.
</math>
 
The main idea is that the structure of the above type of systems is quite similar to so-called bilinear control systems. Although belonging to the class of nonlinear control systems, the latter exhibit many features of linear time-invariant systems. In more detail, a bilinear control system is given as follows
 
<center>
<math>
\dot{x}(t)=Ax(t) + \sum_{i=1}^m N_i x(t) u_i(t) + B u(t),
</math>
</center>
 
where
<math>
A,N \in \mathbb R^{n\times n}, B \in \mathbb R^{n\times m}
</math>
and
<math>  C \in \mathbb R^{p\times n}.
</math>

Revision as of 07:02, 6 December 2011

The model reduction method we present here is applicable to linear parameter-varying (LPV) systems of the form

x˙(t)=Ax(t)+i=1dpi(t)Aix(t)+B0u0(t),y(t)=Cx(t),

where A,Ain×n,B0n×m and Cp×n.

The main idea is that the structure of the above type of systems is quite similar to so-called bilinear control systems. Although belonging to the class of nonlinear control systems, the latter exhibit many features of linear time-invariant systems. In more detail, a bilinear control system is given as follows

x˙(t)=Ax(t)+i=1mNix(t)ui(t)+Bu(t),

where A,Nn×n,Bn×m and Cp×n.