湿法炼锌浸出液中存在多金属组分,如Zn(Ⅱ)和Co(Ⅱ),针对重叠峰分离提出一种基于类Gaussian分布的线性扫描极谱重叠峰分离方法。通过分析线性扫描极谱曲线的特性构造类Gaussian分布作为待分离重叠峰子峰的模型,并利用多分辨率小波分解确定各子峰波峰和波谷位置,基于该模型及确定值对重叠峰及其导数峰进行非线性加权最小二乘(nonlinear weighted least squares,NWLS)拟合,根据重构参数将重叠峰分离为独立的子峰,实现该类重叠峰的分离。该类重叠峰分离的结果表明:多分辨率小波分解的分辨误差小于1%,NWLS拟合的分离精度高于96%,本方法可以有效分离Zn(Ⅱ)和Co(Ⅱ)产生的极谱重叠峰。
In order to effectively analyse the multivariate time series data of complex process,a generic reconstruction technology based on reduction theory of rough sets was proposed,Firstly,the phase space of multivariate time series was originally reconstructed by a classical reconstruction technology.Then,the original decision-table of rough set theory was set up according to the embedding dimensions and time-delays of the original reconstruction phase space,and the rough set reduction was used to delete the redundant dimensions and irrelevant variables and to reconstruct the generic phase space,Finally,the input vectors for the prediction of multivariate time series were extracted according to generic reconstruction results to identify the parameters of prediction model.Verification results show that the developed reconstruction method leads to better generalization ability for the prediction model and it is feasible and worthwhile for application.
The problem of the stability analysis and controller design for Lurie networked control systems(NCSs)is investigated,in which the network-induced delays and data dropout problems are simultaneously considered.By considering that the network-induced delays are assumed to be time-varying and bounded,and analyzing the relationship between the delay and its upper bound,employing a Lyapunov-Krasovskii function and an integral inequality approach,an improved stability criterion for NCSs is proposed.Furthermore,the resulting condition is extended to design a less conservative state feedback controller by employing an improved cone complementary linearization(ICCL)algorithm.Numerical examples are provided to show the effectiveness of the method.
