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Twenty-four hours after the last oral administration, the blood were obtained and used for testing adrenocorticotrophic hormone, cyclic adenosine monophosphate, cyclic guanosine monophosphate, glucose, cholesterol, alanine aminotransferase, urea nitrogen. Results Before taking medicine, model rats' cAMP/cGMP and ACTH were lower than normal rats', and they showed a trend of rise with adding dose. Before taking medicine, model rats' GLU was lower than normal rats'. With adding dose, model rats' GLU increased, however, normal rats' GLU reduced. When taken medium dose white prepared lateral root of aconite, model rats' CHO was higher than normal rats'. Taking medicine made both groups ALT rise, but normal rats' went up more quickly than model rats'. Model rats' BUN was higher than normal rats', and taking low dose or little dose medicine could lead to incline of reduction.

结果 给药前模型组环磷酸腺苷/环磷酸鸟苷和促肾上腺皮质激素低于正常组，随着给药剂量的增加，两者有升高的趋势；给药前模型组血糖低于正常组，随着给药剂量的增加，模型组GLU有升高的趋势，而正常组有下降的趋势；中剂量给药时模型组总胆固醇显著高于正常组；随着给药剂量的增加，2组丙氨酸氨基转移酶均有升高的趋势，且正常组ALT升高的幅度更大；给药前模型组尿素氮高于正常组，低、小剂量给药有降低模型组BUN的趋势。

In the light of the complex, high-level and non-linear feature of the mathematical model which describe the transport of the coalbed methane, this paper study the fully-implicit solving method of the mathematical model in detail. Based on the complexity of the algebraic equations which are formed eventually, according to the alternating direction implicit difference pattern, this paper use the iterative method and the fully main element Gauss-Jordan eliminating method to solve equations, which is to use the iterative method to determine coefficient matrix and use the fully main element Gauss-Jordan method to solve th linear algebraic equation group, at the same time of studying the solving method of the mathematical model, according to the devising requirement of FORTRAN77 program structure, this paper draw up computer program and form the corresponding computer model, and verify the validity and reliability of the model in theory by operating the model.

重点研究了模型内、外边界及有关参数的处理，针对描述煤层甲烷运移的数学模型是一个复杂、高阶非线性数学模型的特点，详细研究了模型的全隐式求解方法，根据最后形成的代数方程组的复杂性，按交替方向隐式差分格式，采用迭代与全选主元高斯约当消去法相结合的方法求解方程：即确定系数矩阵采用迭代法，求解线性方程组时采用全选主元高斯约当消去法，在研究模型解法的同时按FORTRAN结构化程序设计的要求，编制计算机程序，形成相应的CBMRS计算机模型，并通过模型的运行从理论上证明了模型的正确性与可靠性。

Main contributions and achievements are as follows:A general non-equilibrium rigorous model for RDP is developed in this thesis. Based on the pseudo-homogenous assumption, two main factors reaction and separation are de-coupled, and an RDP model with the same format as that for a traditional distillation process is established. To solve the model with a large number of algebraic equations, modified M-K equations with tri-diagonal matrix form are developed based on the improved Separation Efficiency Functions, which greatly increases the iteration efficiency. This thesis also develops a general reactive distillation dynamic model. Through splitting of the differential variables based on SEFS, large-scaled differential algebraic equations can be solved with the improved Gear's algorithm which makes the dynamic model suitable for the on-line application. A simulation platform for the control loop design and evaluation of RDP by introducing control system equations into the dynamic model is also developed.A lactic acid purification pilot-scale RDP is investigated.

论文对热点问题——反应精馏过程的建模与优化控制相关技术进行了深入的研究，取得了一系列成果：1、建立了反应精馏过程机理模型，基于拟均相假设，将反应和分离过程进行解耦，推导出反应精馏过程的非平衡级稳态模型和动态模型，通过引入推广的分离效率函数，对模型变量进行了合理划分，显著提高了模型求解效率；将动态模型和控制系统方程结合，建立了反应精馏过程控制系统研究的辅助工具。2、全面分析了乳酸提纯反应精馏新工艺试验装置，利用本文建立的过程机理模型，对该试验装置进行了稳态和动态性能分析及水力学核算；设计和分析了单边质量控制方案，比较了间接和直接物料平衡控制两种方案的控制性能。

First discarding the thought of fitting by AR model, the ARMA model is fitted by a high order MA model using Gevers-Wouters algorithm on the basis of related functions of ARMA model. Then according to the parameters of the fitted MA model, the ARMA model parameter estimation through solving a system of antipathic linear equations using the least squares method is obtained.

首先摈弃传统的拟合到AR模型的思考方法，而是基于ARMA模型的相关函数用Gevers-Wouters算法对ARMA模型拟合到高阶滑动平均模型；然后在拟合的MA模型参数基础上，用最小二乘算法求解一个不相容的线性方程组，从而估计出ARMA模型参数。

Based on the analysis of the mechanism of robot manipulators, a trajectory tracking controlling research model is first built up with ADAMS, and its mathematical model is formulated through the study of robot kinematics and dynamics. After the modeling errors are analyzed in practical robotic systems, a conception of centralized error is brought forward according to the theory of weighting functions. In the case of modeling errors' exist, the robotic uncertain model is derived by introducing an auxiliary control variable into inverse dynamic analysis. The control strategy of robust exponential convergence is applied to the robotic uncertain model, the applicable conditions and the applicable controller with this application are presented. The stable control effect under three main model uncertainties (parametric errors, joint disturbs, joint frictions) are systematically studied on the previously built research model. The problems of robust exponential convergence controller which often results in unstable output and so produces a large relative error when the input trajectory is in a small range are resolved by adjusting the control parameters based on the controller's structure.

本文在机械手的机械结构分析基础上，利用ADAMS建立了用于机械手轨线跟踪控制研究的机械手模型；通过对机器人运动学和动力学问题的研究，建立了机械手研究的数学模型；分析了机器人系统中模型误差的主要来源，根据加权函数法分析，提出了模型集中误差的概念；在存有模型误差的情况下，采用逆动力学结构并引入辅助控制量，由机器人误差模型推导了机器人非确定性模型；提出了采用鲁棒指数收敛法对上述机器人非确定性模型进行鲁棒镇定的控制策略，并给出了对机器人进行鲁棒指数收敛控制时系统不确定因素应满足的匹配条件；针对机械手研究模型，深入研究了鲁棒指数收敛控制器对机器人系统中常见的模型参数误差、关节扰动、关节摩擦等不确定因素的镇定控制效果；针对鲁棒指数收敛控制器易产生控制量振荡的问题以及在小范围内系统轨线跟踪的稳态误差过大问题，本文分别提出了基于控制器结构的控制参数调整法和基于轨线跟踪范围大小的控制参数分段切换法。

It described the basic thinking and method of building simulation model including the modeling method of conceptual model(conceptual model includes the hierarchical model,object model, dynamic model),and basic thinking of building the simulation model of coal wharf logistics system with the new software of Witness.

同时本文针对如何应用新一代仿真软件witness建立煤炭码头物流系统仿真模型，阐述了基本思路，建立煤炭码头的层次模型、动态模型，最后结合具体码头的特色建立其仿真模型。

Results Group C had the symptoms such as reduced activity, acceded, indulge in lying and weight loss after 3 weeks of immune injection, 14 out of 16 SD rats in Group B had the same symptoms as Group C after 4～5 weeks of immune injection, the serum enzymes in model groups increased significantly compared with those of the control group, model group C was much higher than model group B; the duration shorted, amplitude decreased, multiphase wave increased in electromyogram of model groups; MRI examination revealed samples from model group B and C had one positive case each, which presented T1MI isodensity or hypodensity signal, T2MI and STIR serial hyperdensity signal, revealing muscle inflammation; all rats'skeletal muscle from model group C and 11 out of model group B had pathological changes, which exhibited striated muscle focal fiber degeneration, necrotized and inflammatory cell infiltration, interstitial vessel wall thickening, random cardiac muscle samples had 3 positive changes, which had similar changes to skeletal muscle, there was 1 positive change from lung sample.

结果：模型C组于免疫注射第3周左右开始出现活动减少，倦怠嗜卧，食欲体重下降等表现，模型B组有14只SD大鼠于免疫注射第4～5周出现上述症状，较C组为轻；模型组肌酶谱中，肌酸激酶、乳酸脱氢酶、谷草转氨酶与对照组比较明显升高，模型C组较模型B组升高更显著；模型组肌电图时限缩短，波幅降低，多相波增多；磁共振检查模型B组和C组选送标本中各有一例有阳性改变，表现为T1MI等或稍低信号，T2MI及STIR序列为高信号，提示肌肉炎症水肿改变；模型B组有11只，模型C组全部大鼠骨骼肌出现病理改变，表现为横纹肌局灶性分布的肌纤维变性炎细胞浸润，间质小血管壁增厚、扩张，随机选送的心肌标本中有3例有阳性改变，表现与骨骼肌相仿，选送的肺标本中有1例有阳性改变，表现为蛋白渗出，炎症细胞浸润和小血管改变。

This paper presents a workflow management system based on software agent. It applies an activity-based modeling method and builds formal workflow model. It also puts forward an agent model composed of activity model, intention model, skill model, self-capacity model and companion model to implement workflow management. An agent federation which can be nested is constructed to enhance system flexibility and a shared domain ontology based on workflow is defined to support semantic interoperation among agents.

文章提出了一种基于软件agent的工作流管理系统，采用基于活动的工作流建模方法，建立了形式化的工作流模型，在此基础上，定义了包括活动、意向、技能、自身能力、伙伴等模型的实现工作流运行的agent模型，构建了可嵌套的agent联邦结构，增强了系统的灵活性，并定义了基于工作流的共享领域本体论，支持agent间的语义互操作。

The system implemented forest fire model selection automatically and intelligently. BP artificial neural network model of forest fire model selection was build by treating forest fire environment data as inputting variable and treating appropriate forest fire model as outputting variable. At the same time, we studied the methods of acquiring and calculating data of inputting and outputting. The system implemented machine of model selection automatically based on dynamic data driven technology. We selected 72 items experimental data from historical forest fire records in Beijing to experiment and confirm the validity of model selection. It turned out that the reliability of model selection is more than 80 percent.

3基于BP人工神经网络方法设计了林火模型适宜性选择技术框架结构，通过神经网络形成林火模型选择知识，实现了林火模型的自动化和智能化选择；以火场环境因子为输入变量，以适宜火场环境模拟的林火蔓延模型作为输出变量，构建了林火模型选择神经网络模型；研究了输入、输出因子数据的获取与计算方式，实现了动态数据驱动的林火模型自动选择机制；以本京市为例，选择了有详细火场情况记录的72场林火作为实验样本，其中60条记录作为学习样本集，12条记录作为验证样本，对神经网络进行了学习和验证，实验结果表明，模型选择精度可达到80%以上。

So this paper applied Grey forecasting GM (1,1) model and its generated models, the Grey Markov numerical forecasting model and Comprehension model, to develop a net interest margin change forecasting model, a net interest margin forecasting model, a new decision model concerned with commercial bank interest-sensitive assets portfolio and a new expected return decision model of interest-sensitive assets portfolio.

本文以灰预测GM(1，1)模式，以及其衍生之灰马可夫预测模式与内涵模式，构建新的净利息边际变动率预测模式、净利息边际金额预测模式、利率敏感性资产投资组合最适配置决策模式与利率敏感性资产投资组合最适配置预期报酬率决策模式等利率敏感性缺口管理预测模式。

This one mode pays close attention to network credence foundation of the businessman very much.

这一模式非常关注商人的网络信用基础。

Cell morphology of bacterial ghost of Pasteurella multocida was observed by scanning electron microscopy and inactivation ratio was estimated by CFU analysi.

扫描电镜观察多杀性巴氏杆菌细菌幽灵和菌落形成单位评价遗传灭活率。