International Journal of Control, Automation and Systems 2018; 16(4): 1637-1647
Published online July 25, 2018
https://doi.org/10.1007/s12555-017-0416-4
© The International Journal of Control, Automation, and Systems
In this paper, we are concerned with the robust H∞ problem for a class of discrete -time neural networks with uncertainties. Under a weak assumption on the activation functional, some novel summation inequality techniques and using a new Lyapunov-Krasovskii (L-K) functional, a delay-dependent condition guaranteeing the robust asymptotically stability of the concerned neural networks is obtained in terms of a Linear Matrix Inequality(LMI). It is shown that this stability condition is less conservative than some previous ones in the literature. The controller gains can be derived by solving a set of LMIs. Finally, two numerical examples result are given to illustrate the effectiveness of the developed theoretical results."
Keywords H∞ control, linear matrix inequality, stability, time-varying delay.
International Journal of Control, Automation and Systems 2018; 16(4): 1637-1647
Published online August 1, 2018 https://doi.org/10.1007/s12555-017-0416-4
Copyright © The International Journal of Control, Automation, and Systems.
M. Syed Ali, K. Meenakshi, R. Vadivel, and O. M. Kwon*
Chungbuk National University
In this paper, we are concerned with the robust H∞ problem for a class of discrete -time neural networks with uncertainties. Under a weak assumption on the activation functional, some novel summation inequality techniques and using a new Lyapunov-Krasovskii (L-K) functional, a delay-dependent condition guaranteeing the robust asymptotically stability of the concerned neural networks is obtained in terms of a Linear Matrix Inequality(LMI). It is shown that this stability condition is less conservative than some previous ones in the literature. The controller gains can be derived by solving a set of LMIs. Finally, two numerical examples result are given to illustrate the effectiveness of the developed theoretical results."
Keywords: H∞ control, linear matrix inequality, stability, time-varying delay.
Vol. 23, No. 1, pp. 1~88
Lijuan Zhu* and Chengyun Zhu
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