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This paper is concerned with the stability problem for a kind of memristive neural network (MNN) with interval time-varying delays. Since the model of the MNN is a differential equation with a discontinuous function on right hand side, the classical theory of differential equations is beyond appliance. By means of the theory of differential inclusion and the framework of Filippov solution, the delayed MNN can be transformed into some common delayed neural network and a novel Lyapunov-Krasovskii functional (LKF) is constructed with a first-order function regarding time delay. Utilizing some integral inequalities and the reciprocally convex combination inequality to assess its time derivative, we obtain a sufficient condition guaranteeing the asymptotic stability of the delayed MNN in the form of linear matrix inequalities (LMIs), which can be checked easily by MATLAB. Ultimately, it is shown through numerical example that the proposed method is valid and realizable. [ABSTRACT FROM AUTHOR]

In this paper, a tide forecasting tool called T_TIDE based on the classical harmonic analysis is introduced. The measured tide data are harmonically analyzed and tide forecasting was made by using the T_TIDE and the characteristics of tides at L俟si Tide Station (LSI Station) and Lianyungang Tide Station (LYG station) along Jiangsu coast are studied. The results show that the accuracy of T_TIDE in tidal prediction of Jiangsu coastal tides is highly satisfactory, which can provide tidal forecasting service and theoretical support for selection of the window period for coastal construction. M2 is the main tidal constituent at both LSI station and LYG station. The type of tides at both stations is all semi-diurnal. At LSI station, the amplitude of M2 presents an upward trend from 1998 to 2012 while at LYG station, the amplitude of M2 gradually decreased between 1995 and 2001 and increased between 2001 and 2012. Whereas, the phase-lag shows a significant downward trend at both LSI station and LYG station. Sea level changes at the two stations are also studied and the statistical results illustrate that the sea levels at LSI station and LYG station present an increasing trend and a decreasing trend, respectively. [ABSTRACT FROM AUTHOR]

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