Wenwu Yu
King Abdulaziz University
5 Papers
48 Citations
Wenwu Yu is an academic researcher from King Abdulaziz University. The author has contributed to research in topics: Bidirectional associative memory & Exponential stability. The author has an hindex of 5, co-authored 5 publications. Previous affiliations of Wenwu Yu include Southeast University.
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Papers
Global exponential stability and lag synchronization for delayed memristive fuzzy Cohen–Grossberg BAM neural networks with impulses
Wengui Yang,Wenwu Yu,Wenwu Yu,Jinde Cao,Jinde Cao,Fuad E. Alsaadi,Tasawar Hayat,Tasawar Hayat +7 more
TL;DR: This paper investigates the stability and lag synchronization for memristor-based fuzzy Cohen-Grossberg bidirectional associative memory (BAM) neural networks with mixed delays (asynchronous time delays and continuously distributed delays) and impulses.
93
A new switching design to finite-time stabilization of nonlinear systems with applications to neural networks
Xiaoyang Liu,Xiaoyang Liu,Daniel W. C. Ho,Daniel W. C. Ho,Wenwu Yu,Wenwu Yu,Jinde Cao,Jinde Cao +7 more
TL;DR: This paper is concerned with the optimal finite-time stabilization problem for nonlinear systems and a new switching protocol is designed to stabilize the system with a fast speed under the framework of Filippov solutions.
93
Almost automorphic solution for neutral type high-order Hopfield BAM neural networks with time-varying leakage delays on time scales
TL;DR: By applying the exponential dichotomy theory on time scale, Banach contraction mapping principle and differential inequality analysis techniques, some sufficient conditions are established for the existence and global exponential stability of almost automorphic solution for neutral type high-order Hopfield bidirectional associative memory (BAM) neural networks with time-varying leakage delays on time scales.
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Finite-time stochastic synchronization of genetic regulatory networks
TL;DR: Compared with the previous references, a continuous finite-time controller is designed to achieve the synchronization objective and a constructive method that may accelerate the convergence is discussed.
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Discontinuous Lyapunov approach to state estimation and filtering of jumped systems with sampled-data
TL;DR: This paper is concerned with the sampled-data state estimation and H(∞) filtering for a class of Markovian jump systems with the discontinuous Lyapunov approach, and sufficient conditions are established so as to guarantee both the asymptotic mean-square stability and the H( ∞) performance for the filtering error systems.
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