New Results on Finite-Time Synchronization of Complex-Valued BAM Neural Networks with Time Delays by the Quadratic Analysis Approach

In this paper, we are interested in the finite-time synchronization of complex-valued BAM neural networks with time delays. Without applying Lyapunov–Krasovskii functional theory, convergence theorem, graph-theoretic method, theory complex functions or integral inequality by using quadratic analysis approach, techniques and designing two classes novel controllers, sufficient conditions achieved to guarantee between master system slave system. The method used our paper is a different study approach from those existing papers. Therefore controllers designed fully novel.