Multi-sensor optimal fusion filters for delayed nonlinear intelligent systems based on a unified model
Liu M, Zhang S, Jin Y (2011)
Neural Networks 24(3): 280-290.
Zeitschriftenaufsatz
| Veröffentlicht | Englisch
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Autor*in
Liu, Meiqin;
Zhang, Senlin;
Jin, YaochuUniBi 
Abstract / Bemerkung
This paper is concerned with multi-sensor optimal H∞ fusion filtering for a class of nonlinear intelligent
systems with time delays. A unified model consisting of a linear dynamic system and a bounded static
nonlinear operator is employed to describe these systems, such as neural networks and Takagi and
Sugeno (T–S) fuzzy models. Based on the H∞ performance analysis of this unified model using the linear
matrix inequality (LMI) approach, centralized and distributed fusion filters are designed for multi-sensor
time-delayed systems to guarantee the asymptotic stability of the fusion error systems and to reduce
the influence of noise on the filtering error. The parameters of these filters are obtained by solving the
eigenvalue problem (EVP). As most artificial neural networks or fuzzy systems with or without time
delays can be described with this unified model, fusion filter design for these systems can be done in
a unified way. Simulation examples are provided to illustrate the design procedure and effectiveness of
the proposed approach.
Erscheinungsjahr
2011
Zeitschriftentitel
Neural Networks
Band
24
Ausgabe
3
Seite(n)
280-290
ISSN
08936080
Page URI
https://pub.uni-bielefeld.de/record/2978599
Zitieren
Liu M, Zhang S, Jin Y. Multi-sensor optimal fusion filters for delayed nonlinear intelligent systems based on a unified model. Neural Networks. 2011;24(3):280-290.
Liu, M., Zhang, S., & Jin, Y. (2011). Multi-sensor optimal fusion filters for delayed nonlinear intelligent systems based on a unified model. Neural Networks, 24(3), 280-290. https://doi.org/10.1016/j.neunet.2010.11.006
Liu, Meiqin, Zhang, Senlin, and Jin, Yaochu. 2011. “Multi-sensor optimal fusion filters for delayed nonlinear intelligent systems based on a unified model”. Neural Networks 24 (3): 280-290.
Liu, M., Zhang, S., and Jin, Y. (2011). Multi-sensor optimal fusion filters for delayed nonlinear intelligent systems based on a unified model. Neural Networks 24, 280-290.
Liu, M., Zhang, S., & Jin, Y., 2011. Multi-sensor optimal fusion filters for delayed nonlinear intelligent systems based on a unified model. Neural Networks, 24(3), p 280-290.
M. Liu, S. Zhang, and Y. Jin, “Multi-sensor optimal fusion filters for delayed nonlinear intelligent systems based on a unified model”, Neural Networks, vol. 24, 2011, pp. 280-290.
Liu, M., Zhang, S., Jin, Y.: Multi-sensor optimal fusion filters for delayed nonlinear intelligent systems based on a unified model. Neural Networks. 24, 280-290 (2011).
Liu, Meiqin, Zhang, Senlin, and Jin, Yaochu. “Multi-sensor optimal fusion filters for delayed nonlinear intelligent systems based on a unified model”. Neural Networks 24.3 (2011): 280-290.
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