Neural networks for checking the stability of multidimensional systems

In this paper, the stability problem of m-dimensional systems is tackled as an optimization problem. A neural network is proposed for the solution of this problem. Several numerical examples illustrate the validity and the efficiency of the method.

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Bibliographische Detailangaben
Hauptverfasser:	Mastorakis, N.E., Mladenov, V.M., Swamy, M.N.S.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Digital images Filter Design Filters Multidimensional Filters Multidimensional signal processing Multidimensional systems Neural networks Polynomials Stability System testing Transfer functions Two dimensional displays
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Beschreibung
Zusammenfassung:	In this paper, the stability problem of m-dimensional systems is tackled as an optimization problem. A neural network is proposed for the solution of this problem. Several numerical examples illustrate the validity and the efficiency of the method.
DOI:	10.1109/NEUREL.2008.4685576