Finite-Time Boundedness Analysis of Uncertain Neural Networks with Time Delay: An LMI Approach
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks
Delay-dependent exponential stability for a class of neural networks with time delays
Journal of Computational and Applied Mathematics
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Automatica (Journal of IFAC)
IEEE Transactions on Neural Networks
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In this paper, the finite time boundedness (FTB) for certain and uncertain neutral type neural networks are investigated. The concept of FTB for time delay system is extended first. Then, based on the Lyapunov stability theory and linear matrix inequality (LMI) technique, some sufficient conditions are derived to guarantee FTB, and our results are less conservative than exiting results. Finally, some examples are given to demonstrate the effectiveness and improvement of the proposed results.