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Finite-time L2-gain analysis for switched neural networks with time-varying delay.
- Source :
-
Neural Computing & Applications . Feb2018, Vol. 29 Issue 4, p975-984. 10p. - Publication Year :
- 2018
-
Abstract
- This paper considers the finite-time stability and finite-time boundedness problems for switched neural networks subject to L2<inline-graphic></inline-graphic>-gain disturbances. Sufficient conditions for the switched neural networks to be finite-time stable and finite-time bounded are derived. These conditions are delay-dependent and are given in terms of linear matrix inequalities. Average dwell time of switching signals is also given such that switched neural networks are finite-time stable or finite-time bounded. By resorting to the average dwell time approach and Lyapunov–Krasovskii functional technology, some new delay-dependent criteria guaranteeing finite-time boundedness and stabilizability with L2<inline-graphic></inline-graphic>-gain analysis performance are developed. An illustrative example is given to demonstrate the effectiveness of the proposed state estimator. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 09410643
- Volume :
- 29
- Issue :
- 4
- Database :
- Academic Search Index
- Journal :
- Neural Computing & Applications
- Publication Type :
- Academic Journal
- Accession number :
- 127794795
- Full Text :
- https://doi.org/10.1007/s00521-016-2498-y