Xiaoxiao Wan

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.

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.

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.

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.

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.