Non-fragile synchronisation of mixed delayed neural networks with randomly occurring controller gain fluctuations
Muhammed Syed Ali, Nallappan Gunasekaran, R. Agalya, Young Hoon Joo · International Journal of Systems Science · 2018
This study is concerned with the problem of non fragile synchronisation of mixed delayed neural networks with randomly occurring controller gain fluctuations. By using a novel mathematical approach and considering the neuron activation functions, improved delay-dependent stability results are formulated in terms of linear matrix inequalities (LMIs). An augmented new Lyapunov-Krasovskii functional (LKF) that contains double and triple integral terms is constructed to ensure the asymptotic stability of the error system which guarantees the master system synchronise with the slave system. Finally, numerical examples are provided to show the effectiveness of the proposed theoretical results.