Subspace Identification for Linear Periodically Time-varying Systems

Next, we used the conventional approach proposed by Pauly and Christensen (1995a) to estimate mean SPPRs of these species but using the mean transfer efficiency of 11.9%

In this case, the proposed observer generates state and parameter estimates, which exponentially converge to the plant state and the true parameter, respectively, provided a

The identification of time-varying systems can also be tackled using deterministic models for the parameter variations, and then performing the estimation with the batch sliding

We provide, firstly, a necessary and sufficient condition for the positive invariance of an ellipsoid with respect to uncertain and/or time-varying systems with bounded

The purpose of this paper is to provide some contributions to one notion of Output controllability for Linear Time Varying (LTV) systems which is the Complete State to

In order to reduce the number of these sampling instants, a dynamic scheduling algo- rithm optimizes, over a given sampling horizon, a sam- pling sequence depending on the system

Two important properties of the input-output Laguerre domain representation of a discrete LTI system are revealed in (5). First, there is always an algebraic coupling between the

In [14] this result has been extended to the class of time-varying systems, where constant and time-varying similarity transformations have been proposed to represent a