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Xiaoxiao Wan
Researcher at Chongqing Normal University
Publications - 8
Citations - 299
Xiaoxiao Wan is an academic researcher from Chongqing Normal University. The author has contributed to research in topics: Synchronization & Dwell time. The author has an hindex of 5, co-authored 6 publications receiving 135 citations. Previous affiliations of Xiaoxiao Wan include Sichuan University & Chinese Ministry of Education.
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Finite-time cluster synchronization for a class of fuzzy cellular neural networks via non-chattering quantized controllers
TL;DR: The new analytical techniques skillfully overcome the difficulties caused by time-varying delays and cope with the uncertainties of both Filippov solution and Markov jumping, which enable the settling time explicitly to be determined.
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Finite-time stochastic synchronization of dynamic networks with nonlinear coupling strength via quantized intermittent control
TL;DR: A novel lemma is established to establish the settling-time due to the uncertain intermittent intervals, and two quantized intermittent controllers without chattering are designed, which can reduce the control cost and save channel resources.
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Synchronization of Switched Discrete-Time Neural Networks via Quantized Output Control With Actuator Fault
TL;DR: This article considers global exponential synchronization almost surely (GES a.s.) for a class of switched discrete-time neural networks (DTNNs) and finds that the TP matrix plays an important role in achieving the GES a.S., the upper bound of the dwell time (DT) of unsynchronized subsystems can be very large, and the lowerbound of the DT of synchronized subsystems could be very small.
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Exponential synchronization of semi-Markovian coupled neural networks with mixed delays via tracker information and quantized output controller
TL;DR: Novel Lyapunov-Krasovskii functionals with negative terms and delay-partitioning approach are utilized to obtain LMI conditions ensuring the exponential synchronization of semi-Markovian coupled neural networks with bounded time-varying delay and infinite-time distributed delay.
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Finite-time synchronization of nonidentical BAM discontinuous fuzzy neural networks with delays and impulsive effects via non-chattering quantized control
TL;DR: This paper investigates finite-time synchronization (FTS) of drive-response BAM fuzzy neural networks with time delays and impulsive effects by designing new Lyapunov functionals and proposing new analytical techniques to ensure that nonidentical BAMFNNs achieve synchronization in a finite settling time.