Haiyan Liu
5 Papers
Haiyan Liu is an academic researcher. The author has contributed to research in topics: Chemistry & Computer science. The author has an hindex of 1, co-authored 1 publications.
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Papers
A Time-Varying Fuzzy Parameter Zeroing Neural Network for the Synchronization of Chaotic Systems
TL;DR: This paper proposes a time-varying fuzzy parameter ZNN (TVFP-ZNN) model to realize chaotic systems synchronization against the external noises and possesses the fastest convergence speed, but also maintains strongest robustness to noises.
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A noise tolerant parameter-variable zeroing neural network and its applications
TL;DR: In this article , a noise-tolerant parameter-variable zeroing neural network (NTPVZNN) model for solving dynamic Sylvester matrix equations (DSME) is realized, and its fixedtime convergence and robustness to noises are verified by rigorous mathematical analysis and numerical simulation results.
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Towards Fuzzy Activation Function Activated Zeroing Neural Network for Currents Computing
TL;DR: In this article , a fuzzy activation function activated zeroing neural network (FAFZNN) for online fast computing circuit currents is proposed, and the convergence and noise resistance ability of the proposed FAFZNN model are further promoted.
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Towards non-linearly activated ZNN model for constrained manipulator trajectory tracking
Xiangyu Lan,Jie Jin,Haiyan Liu +2 more
TL;DR: In this article , a non-linearly activated zeroing neural network (NAZNN) model is proposed for solving constrained TVLME (CTVLME) problems, and the convergence and robustness of the proposed NAZNN model are verified theoretically, and simulation results further demonstrate the effectiveness and superiority of the model in dealing with the constrained robot manipulator trajectory tracking problems.
Parameter estimation in the spatial auto-logistic model with working independent subblocks
TL;DR: An approximation to the likelihood function with independent sub-blocks in the spatial auto-logistic model, called maximum block independent likelihood estimator, is shown to have the same asymptotic distribution as that of the maximum likelihood estimators in the Ising model, a special case of the spatialAuto-logistics model.
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