| In recent years,the synchronization of fuzzy cellular neural networks has been applied in many fields,and it has also been widely concerned.In this thesis,the synchronization problem of two classes of fuzzy cellular neural networks with time-varying coefficients and delays is studied.Firstly,by using Lyapunov functional method and matrix inequality method,LMI conditions for ensuring synchronization of fuzzy cellular neural networks with time-varying coefficients and time-varying delays under impulsive control are given.At the same time,exponential synchronization conditions and asymptotic behavior of unknown parameters are given,and the validity of the theorem in this chapter is verified by numerical simulation.Secondly,the synchronization of time-delay fuzzy cellular neural networks with timevarying coefficients and discontinuous activation functions under different controls is discussed.Using Filippov differential inclusion theory and Lyapunov stability theory,the exponential synchronization of the model under impulsive control is studied.Based on the finite-time convergence theorem,a time-delay feedback controller is proposed to realize finite-time synchronization under adaptive control,and the finite-time estimation method is established. |
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