Mingqing Xiao

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In this paper, the synchronization problem for neural networks with stochastic perturbation is studied with intermittent control via adaptive aperiodicity. Under the framework of stochastic theory and Lyapunov stability method, we develop some techniques of intermittent control with adaptive aperiodicity to achieve the synchronization of a class of neural(More)
Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. Abstract—Given a system with an(More)
— A new semi-smooth Newton (SSN) multigrid algorithm is proposed for solving the discretized first order necessary optimality systems that characterize the optimal solutions of a class of 2D semi-linear parabolic PDE optimal control problems with control constraints. To achieve a second-order accurate finite difference discretization, we use a leapfrog(More)
A commonly used mathematical model for jet engines that captures the ow behavior of a compression system, known as the viscous Moore-Greitzer PDE model, consists of a PDE and two ODEs. The PDE describes the behavior of disturbances in the inlet region of the compression system, and the two ODEs describe the coupling of the disturbances with the mean ow. In(More)