Finite-time Mittag-Leffler synchronization of fractional-order delayed memristive neural networks with parameters uncertainty and discontinuous activation functions

The finite-time Mittag-Leffler synchronization is investigated for fractional-order delayed memristive neural networks(FDMNN)with parameters uncertainty and discontinuous activation functions.The relevant results are obtained under the framework of Filippov for such systems.Firstly,the novel feedback controller,which includes the discontinuous functions and time delays,is proposed to investigate such systems.Secondly,the conditions on finite-time Mittag-Leffler synchronization of FDMNN are established according to the properties of fractional-order calculus and inequality analysis technique.At the same time,the upper bound of the settling time for Mittag-Leffler synchronization is accurately estimated.In addition,by selecting the appropriate parameters of the designed controller and utilizing the comparison theorem for fractional-order systems,the global asymptotic synchronization is achieved as a corollary.Finally,a numerical example is given to indicate the correctness of the obtained conclusions.     

电位滴定法测定氟石中硫酸钡含量的样品预处理方法研究

开发了测定氟石中硫酸钡含量的样品预处理方法。设计了含有适量的ＳＯ＾２－４，Ｆ＾－和ＣＯ＾２－３的饱和硫酸钡溶液作为样品预处理溶液。应用溶度积原理将与硫酸钡共存的有干扰的钙，锶，铅的硫酸盐转化成严难溶的氟化物和碳酸盐除去，硫酸钡中硫还原成Ｈ２Ｓ电位滴定。