双酶法制糖控制策略在DCS上的实现

目前制糖工艺流程基本是手动控制或半自动化控制，极少数企业采用DCS系统进行集中控制，特别是应用于“一线液化两线糖化”的制糖生产工艺流程中。从实际的生产应用中介绍“两次液化-两次加酶”法生产淀粉糖生产工艺、自动化控制系统的原理、JX-300 DCS系统简述、DCS系统构成和系统组态、系统调试，重点捕述“一线液化两线糖化系统”在DCS上的具体实现。通过近五年的运行，该系统控制方案是可行的，工艺运行稳定可靠，完全满足工艺的要求。     

专家系统在化工中的应用进展

本文综述了近年来专家系统在化工领域的应用状况，并指出今后的发展趋势。     

ON THE SLOW MANIFOLD CHARACTERISTICS OF CAPILLARY SUCTION APPARATUS DYNAMICS

The nonlinear dynamic behaviour relating the wet front size and liquid saturation under inner cylinder (or rectangular cell) in cylindrical (or rectangular) capillary suction apparatus was investigated. The slow manifold explanation was proposed and the fast- and slow-varying variables were identified. Experiments were conducted to verify theoretical findings.     

强噪声背景下确定性谐波信号的模糊滤波

文章提出了一种在强背景噪声环境下对被淹没的谐波信号进行模糊滤波，从而恢复微弱目标信号的方法。在MATLAB环境下，先利用相干平均法，除去被测信号中的随机白噪声，对于有色噪声运用自适应神经模糊推理系统（ANFIS）的方法，对被测信号进行模糊滤波，在较低信噪比下，能较好的恢复出原始微弱信号。     

基于WEB和C/S的教务管理系统的分析与设计

本文是以河南经贸职业学院教务管理工作实现网络化管理的需求为背景而展开讨论的。文中详细阐述了基于WEB和C/S模式相结合的总体设计方案,通过分析系统功能的需求,阐述了系统功能模块的设计思想。     

PROVOX系统在间歇反应聚丙烯装置上的应用

本文简要介绍了费希尔－罗斯蒙特公司的ＰＯＶＯＸ系统特点，以及在间歇反应聚丙烯装置中的应用。     

非线性动态系统“黑箱”建模方法的研究

本文研究弱非线性动态系统“黑箱”建模的理论和方法，并简要给出根据此方法建模的结果。     

PC机远程通信方法研究

在分析用电话线及ＭＯＤＥＭ进行ＰＣ机点－点远程通信和利用局城网ＬＡＮ进行ＰＣ机通信的优缺点后，本文介绍用通信服务器进行ＰＣ机远程通信的方法．     

确定型存贮模型的系统动态描述

本文尝试用系统动态学的研究方法于存贮理论，建立确定型存贮问题的系统动态优化模型，并对模型作了数学推导。     

Deterministic learning of completely resonant nonlinear wave systems with Dirichlet boundary conditions

In this paper, we investigate the approximation of completely resonant nonlinear wave systems via deterministic learning. The plants are distributed parameter systems (DPS) describing homogeneous and isotropic elastic vibrating strings with fixed endpoints. The purpose of the paper is to approximate the infinite-dimensional dynamics, rather than the parameters of the wave systems. To solve the problem, the wave systems are first transformed into finite-dimensional dynamical systems described by ordinary differential equation (ODE). The properties of the finite-dimensional systems, including the convergence of the solution, as well as the dominance of partial system dynamics according to point-wise measurements, are analyzed. Based on the properties, second, by using the deterministic learning algorithm, an approximately accurate neural network (NN) approximation of the the finite-dimensional system dynamics is achieved in a local region along the recurrent trajectories. Simulation studies are included to demonstrate the effectiveness of the proposed approach.