Back to Search
Start Over
Design of passive filters for time-delay neural networks with quantized output*
- Source :
- Chinese Physics B. 29:110201
- Publication Year :
- 2020
- Publisher :
- IOP Publishing, 2020.
-
Abstract
- Passive filtering of neural networks with time-invariant delay and quantized output is considered. A criterion on the passivity of a filtering error system is proposed by means of the Lyapunov–Krasovskii functional and the Bessel–Legendre inequality. Based on the criterion, a design approach for desired passive filters is developed in terms of the feasible solution of a set of linear matrix inequalities. Then, analyses and syntheses are extended to the time-variant delay situation using the reciprocally convex combination inequality. Finally, a numerical example with simulations is used to illustrate the applicability and reduced conservatism of the present passive filter design approaches.
Details
- ISSN :
- 16741056
- Volume :
- 29
- Database :
- OpenAIRE
- Journal :
- Chinese Physics B
- Accession number :
- edsair.doi...........04a5cf87fc3b00487f76d7842a405722