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Finite Time State Estimation of Complex-valued BAM Neutral-type Neural Networks with Time-varying Delays

Runan Guo, Ziye Zhang*, Chong Lin, Yuming Chu, and Yongmin Li
International Journal of Control, Automation, and Systems, vol. 17, no. 3, pp.801-809, 2019

Abstract : "This paper considers the finite time state estimation problem of complex-valued bidirectional associative memory (BAM) neutral-type neural networks with time-varying delays. By resorting to the Lyapunov function approach, the Wirtinger inequality and the reciprocally convex approach, a delay-dependent criterion in terms of LMIs is established to guarantee the finite-time boundedness of the error-state system for the addressed system. Meanwhile, an effective state estimator is designed to estimate the network states through the available output measurements. Finally, a numerical example is presented to demonstrate the effectiveness of the proposed results."

Keyword : "Complex-valued BAM neural networks, finite time state estimation, neutral-type neural networks, timevarying delays."

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