The Loewner framework for model reduction is extended to the class of linear switched
systems. One advantage of this framework is that it introduces a trade-off between accuracy …

We propose a model order reduction approach for balanced truncation of linear switched
systems. Such systems switch among a finite number of linear subsystems or modes. We …

We present an algorithm for reducing the number of continuous states of a discrete time
linear switched system, such that the reduced system has the same input–output behavior …

Two moment-matching methods for model reduction of linear switched systems (LSSs) are
presented. The methods are similar to the Krylov subspace methods used for moment …

The Loewner framework is an interpolatory model order reduction technique that uses
measured or computed data, eg, measurements of the frequency response of a to-be …

A moment-matching method for model reduction of linear switched systems (LSSs) is
presented. The method can be seen as a non-trivial extension of the Krylov subspace …

We present a procedure for reducing the number of continuous states of discrete-time linear
switched systems, such that the reduced system has the same behavior as the original …

The Loewner framework for model reduction is extended to the class of linear switched
systems. One advantage of this framework is that it introduces a trade-off between accuracy …

A moment-matching method for the model reduction of linear switched systems (LSSs) is
developed. The method is based upon a partial realization theory of LSSs and it is similar to …

The paper deals with the problem of reducing the order of an original high-order
asymptotically stable linear switching system by independently approximating the (stable) …