The existed results of Lagrange stability for neural networks (NNs) are scale-free, and hence, conservativeness appears naturally. A class Takagi-Sugeno (T-S) fuzzy memristive NNs (FMNNs) with time-varying delays is considered on time scales. First, a FMNNs formulated using characteristics memristors T-S rules. Then some new scale-limited criteria global exponential in sense obtained bounded feedback functions the basis inequalities scales inequality scaling techniques. Also, novel...

The existing results of passivity for neural networks mainly concentrated on first-order derivative the states, whereas it is also significant to study with high-order derivative. In this paper, a class memristor-based inertial (MINNs) external inputs and outputs are concerned. First, by choosing appropriate variable transformation, original rewritten as differential equations. Then criterion MINNs presented nonsmooth analysis linear matrix inequality (LMI) techniques, which could result in...

In this article, exponential synchronization of complex dynamical networks (CDNs) on time scales is researched. An IDET control strategy designed to decrease the number event-triggered updating instants. Leveraging intermittent event detections and sampling, combining analytical method with time-scale theory, criteria are obtained for underlying CDNs. Moreover, a parameter selection algorithm given acquire parameters. addition, two lemmas functions proposed prove exclusion Zeno behavior. Two...

The existed results of Lagrange stability and finite-time synchronization for memristive recurrent neural networks (MRNNs) are scale-free on time evolvement, some restrictions appear naturally. In this paper, two novel scale-limited comparison principles established by means inequality techniques induction principle scales. Then the concerning global MRNNs scales obtained. Scaled-limited criteria derived, in detail, via nonsmooth analysis theory Moreover, achieving acquired. addition,...

A class of Takagi-Sugeno (T-S) fuzzy memristor-based inertial neural networks (FMINNs) is studied on time scales. The second-order derivative the state variable in network denotes term. At first, one timescale-type FMINNs formulated basis T-S rules. By a transformation, original transformed into first-order differential equations. Then, passivity criteria for are presented based characteristic function approach, linear matrix inequality techniques, and calculus Furthermore, two classes...

This paper considers generalized discrete-time inertial neural network (GDINN). By timescale theory, the original is rewritten as a timescale-type NN. Two different scenarios are considered. In first scenario, several criteria guaranteeing global exponential stability for addressed GDINN obtained based on matrix measure concept. this case, Lyapunov function or functional not necessary. second some inequality analytical and scaling techniques used to achieve considered GDINN. The also applied...

This note develops new containment control algorithms for two classes of heterogeneous multiagent systems. In a first scenario, the controls are zero during portions successive time intervals, while in second system follows constant-velocity trajectories intervals. Some sufficient conditions derived intermittent control. Finally, several illustrative examples provided to show effectiveness obtained results.

This paper studies the synchronization problem for linear complex dynamical networks (CDNs) on time scales. An intermittent dynamic time-interval pinning control strategy is designed to achieve CDNs with isolated node. Based Lyapunov approach and theory of scales, criteria are established general The main results in show that, by controlling a proportion network nodes, exponential can be achieved. Moreover, infinitely fast switching node set avoided means event-triggered strategy. According...

Fine-grained grocery product recognition via camera is a challenging task to identify the visually similar products with subtle differences by using single-shot training examples. To address this issue? we present novel hybrid classification approach that combines feature-based matching and one-shot deep learning coarse-to-fine strategy. The candidate regions of instances are first detected coarsely labeled recurring features in images without any training. Then, attention maps generated...

Relationships between microstructural and mechanical aging effects in eutectic PbSn Pb-free solder alloy Sn3.9Ag0.6Cu are reported compared. The room temperature aged continually age-softened, this softening correlated with the growth of relatively large tin-rich crystals. 180°C initially minimum flow strength was reached after one day at 180°C. This crystals coarsening Ag3Sn particles. When beyond age-hardened, hardening dispersion particles into which previously had not contained...

Aging effects and creep behavior along with microstructure changes in eutectic PbSn the lead-free solder alloy Sn3.9Ag0.6Cu were studied. The room temperature aged continually age-softened due to growth of relatively large tin-rich crystals. 180/spl deg/C initially age-softened, minimum flow strength was reached after one day at deg/C. This softening correlated crystals coarsening Ag/sub 3/Sn particles. When beyond age-hardened corresponding dispersion particles into which previously had not...

A class of nonautonomous recurrent neural networks (NRNNs) with time-varying delays is considered on time scales. Bounded and unbounded have been taken into consideration, respectively. First, a new generalized Halanay inequality scales constructed by time-scale theory some analytical techniques. Based this inequality, the stabilization NRNNs bounded discussed The results are also applied to synchronization drive-response NRNNs. Furthermore, investigated. Especially, proportional obtained...

Authigenic pyrite is an important recorder for methane seepage.During seepage, the sulfur and iron isotopic composition of will change, allowing it to be used as indicator identify seepage.However, dissimilar behaviour trace elements in authigenic during seepage remain unclear.To provide insights, we samples from 'Haima' seep locality determine differences element contents obtained sulfatemethane transition zone (SMTZ) that normal (non-seepage) sedimentary environments.In SMTZ, content...

Incorporation of two dimensional (2D) materials into a polymer matrix is an efficient way to prepare high performance coatings. Here we report the in-situ mechanical exfoliation graphite in mixture hydroxyethylacrylate terminated polybutadiene urethane (HTPU) prepolymer and reactive diluent. The containing exfoliated nanoplatelets (GN) directly used UV cured composite resins (G/HTPU) with various GN concentrations. Various techniques, such as scanning electron microscopy (SEM), Raman, atomic...