Abstract
In this paper, a delayed Lagrangian network is presented for solving quadratic programming problems. Based on some known results, the delay interval is determined to guarantee the asymptotic stability of the delayed neural network at the optimal solution. One simulation example is provided to show the effectiveness of the approach.
This work was supported by the Hong Kong Research Grants Council under Grant CUHK4165/03E, and the National Natural Science Foundation of China under Grant 60574043.
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© 2006 Springer-Verlag Berlin Heidelberg
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Liu, Q., Wang, J., Cao, J. (2006). A Delayed Lagrangian Network for Solving Quadratic Programming Problems with Equality Constraints. In: Wang, J., Yi, Z., Zurada, J.M., Lu, BL., Yin, H. (eds) Advances in Neural Networks - ISNN 2006. ISNN 2006. Lecture Notes in Computer Science, vol 3971. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11759966_56
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DOI: https://doi.org/10.1007/11759966_56
Publisher Name: Springer, Berlin, Heidelberg
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