This chapter investigates the Lagrange exponential stabilityLagrange exponential stability problem of complex-valued bidirectional associative memory neural networksComplex-valued bidirectional associative memory neural networks (CVBAMNNs) with time-varying delaysTime-varying delays|(. Based on different assumption conditions for activation functionsActivation function|(, by combining the Lyapunov function approach with some inequalities techniques, different sufficient criteria including algebraic conditions and the condition in terms of LMILinear Matrix Inequality (LMI) are given to guarantee Lagrange exponential stability of the addressed system, respectively. Moreover, the estimations of different globally attractive setsAttractive set named the convergence balls are also provided.
Lagrange Exponential Stability for CVBAMNNs with Time-Varying Delays
Intelligent Control & Learning Systems
06.11.2022
29 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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