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Updated: Jul 31, 2025

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
Published on: March 10, 2011
Non-fragile synchronization of BAM neural networks with randomly occurring controller gain fluctuation
Ganesh Kumar Thakur1, Sudesh Kumar Garg2, Tej Singh1
1Department of Applied sciences, ABES Engineering College, Ghaziabad, UP-201007, India.
Abstract:
In this research, a non-fragile synchronization of bidirectional association memory (BAM) delayed neural networks is taken into consideration. The controller gain fluctuation seems in a very random manner, that obeys sure Bernoulli distributed noise sequences. Delay dependent criteria are derived to confirm the asymptotic stability of the BAM delayed neural networks. The non-fragile controller are often obtained by determination a collection of linear matrix inequalities (LMIs). A simulation example is used to demonstrate the efficiency of the developed control.
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