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A New Filter Design Method for Disturbed Multilayer Hopfield Neural NetworksAHN, C. K.
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passive filtering, multilayer Hopfield neural networks, linear matrix inequality (LMI), external disturbance
neural(11), networks(11), state(5), control(5), systems(4), delayed(4)
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About this article
Date of Publication: 2011-05-30
Volume 11, Issue 2, Year 2011, On page(s): 95 - 98
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2011.02015
Web of Science Accession Number: 000293840500015
SCOPUS ID: 79958851524
This paper investigates the passivity based filtering problem for multilayer Hopfield neural networks with external disturbance. A new passivity based filter design method for multilayer Hopfield neural networks is developed to ensure that the filtering error system is exponentially stable and passive from the external disturbance vector to the output error vector. The unknown gain matrix is obtained by solving a linear matrix inequality (LMI), which can be easily facilitated by using some standard numerical packages. An illustrative example is given to demonstrate the effectiveness of the proposed filter.
|References|||||Cited By «-- Click to see who has cited this paper|
| J. J. Hopfield. Neurons with grade response have collective computational properties like those of two-state neurons. Proc. Nat. Acad. Sci., 81:3088-3092, 1984. |
[CrossRef] [Web of Science Times Cited 3731] [SCOPUS Times Cited 4111]
 M. M. Gupta, L. Jin, and N. Homma. Static and Dynamic Neural Networks. Wiley-Interscience, 2003.
[CrossRef] [SCOPUS Times Cited 41]
 Z. Wang, D. W. C. Ho, and X. Liu. State estimation for delayed neural networks. IEEE Trans. Neural Networks, 16:279-284, 2005.
[CrossRef] [PubMed] [Web of Science Times Cited 266] [SCOPUS Times Cited 286]
 Y. He, Q. G. Wang, M. Wu, and C. Lin. Delay-dependent state estimation for delayed neural networks. IEEE Trans. Neural Networks, 17:1077-1081, 2006.
[CrossRef] [PubMed] [Web of Science Times Cited 148] [SCOPUS Times Cited 172]
 L. Jin, P. N. Nikiforuk, and M. M. Gupta. Adaptive control of discrete time nonlinear systems using recurrent neural networks. IET Proceedings Control Theory and Application, 141:169-176, 1994.
[CrossRef] [Web of Science Times Cited 50] [SCOPUS Times Cited 62]
 Y. Liu, Z. Wang, and X. Liu. Design of exponential state estimators for neural networks with mixed time delays. Phys. Lett. A, 364:401-412, 2007.
[CrossRef] [Web of Science Times Cited 107] [SCOPUS Times Cited 130]
 H. Huang and G. Feng. Delay-dependent and generalized filtering for delayed neural networks. IEEE Trans. Circ. Syst. I, 56:846-857, 2009.
[CrossRef] [Web of Science Times Cited 78] [SCOPUS Times Cited 86]
 Z. Wang, Y. Liu, and X. Liu. State estimation for jumping recurrent neural networks with discrete and distributed delays. Neural Networks, 22:41-48, 2009.
[CrossRef] [PubMed] [Web of Science Times Cited 204] [SCOPUS Times Cited 211]
 J. C. Willems. Dissipative dynamical systems, part I: General theory. Arch. Rational Mech. Anal., 45:321-351, 1972.
[CrossRef] [SCOPUS Times Cited 1836]
 C. I. Byrnes, A. Isidori, and J. C. Willem. Passivity, feedback equivalence, and the global stabilization of minimum phase nonlinear system. IEEE Trans. Automat. Contr., 36:1228-1240, 1991.
[CrossRef] [Web of Science Times Cited 745] [SCOPUS Times Cited 918]
 C. K. Ahn. Linear matrix inequality approach to passive filtering for delayed neural networks. Journal of Systems and Control Engineering, 224:1040-1047, 2010.
 S. Boyd, L. E. Ghaoui, E. Feron, and V. Balakrishinan. Linear matrix inequalities in systems and control theory. SIAM, Philadelphia, PA, 1994.
 P. Gahinet, A. Nemirovski, A. J. Laub, and M. Chilali. LMI Control Toolbox. The Mathworks Inc., 1995.
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Stefan cel Mare University of Suceava, Romania
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