A MODEL SYSTEM OF A LONG-TERM PROGRAM OF EDUSATION DEVELOPMENT AND ITS APPLICATION

This paper studies a long-term program of education development in the light of the theory and method of system engineering.A complete mathematical-Simulant model system is used to describe the internal regularity of an edu-cation system inside a social-economic tystem,and to put forward a set of efficient method for education development programming.The mathematical-simulant model system dis-cussed in the paper is put to practical use in a regional education programming.     

A MODLE OF SYSTEM DYNAMIC FOR URBAN LAND PLANNING

This thesis uses the theory and method of the system dynamics to analyze the characteristics of the urban land planning system and set up the urban land planning system dynamic model, The model could describe the influence and request of factors of the society. economy and environment to the urban planning by using the system, the quantitative and the dynamic methods. By adjusting the parameter and repeating model imitation, the model could provide the possibility of realizing the present land planning and provide the quantitative analysis method for the planning department to make or adjust the land planning, and assist the government department to make decisions.     

APPLICATION OF ARMA MODEL AND PARAMETER IDENTIFICATION TO SIMULATION OF PULSATING WIND

With the wide use of tall buildings,highrise structures,suspended structures and some other flexible structures,the analysis ofstructure responses under pulsating wind has been more and more valuedin the field of engineering.It is necessary to effectively give pulsatingwind records with certain stochastic characteristics for the analysis ofstructure responses under winds and the design of anti-vibration struc-tures.Using autoregressive moving average(ARMA)model and techoniqueof parameter identification,this paper studies the method to simulatingpulsating winds which are compatible with given factors(such as powerspectrum or other stochastic characteristics).The conclution shows thatit is an effective method.     

AGGREGATION METHOD AND ITS APPLICATION IN SYSTEM DESIGN

A new aggregation method for order reduction of linear continuous or discrete systems is proposed in this paper. This method is easy for system design and it makes the structure of the controller and the state observer simple. It also reduces the computation of the system design.     

THE MECHANICAL MODEL ON IMPACT SYSTEM AND ITS PARAMETER IDENTIFICATION

A new mechanical model on impact system with non-linear element is presented and the practical method for measuring and identifying the parameters is also studied. The results of the experimental analysis and theoretical calculations are satistactory. And we hope to provide more acurate theorecical model for the study and design of impact dampers.     

COMPOSITE SYSTEM RELIABILITY EVALUATION CONSIDERING LOAD MODEL

The study for dealing with the load model in composite system reliability evaluation is almost at a standstill because of the inherent computational complexity. In this paper, an algorithm for composite system reliability evaluation considering load model is proposed. This method is powerful in computation because it can avoid unnecessary state enumeration by means of the relationship among basic reliability informations of load levels. As an example, the IEEE 24-node Reliability Test System is tested on VAX-11/750 computer. The average CPU time to calculate the reliability indices of the system corresponding to a load level is about 5 seconds.     

A Kind of Robust Identification Algorithm Research

A new robust identification algorithm which is based on the estimation of parameter model,i.e.,Optimal Volume Ellipsoid parameter set identification algorithm is presented in this paper.It identifies not only a parameter point(the center of the ellipsoid) but also the error bounds of each parameter.It employs noise bounds in identification algorithm and dynamically modifies coefficients of identification convergent speed and direction in order to attain satisfactory perfomance.Digital simulation results show that is possesses high accuracy,dramatic convergent speed,excellent performance against noise and strong robustness as well as uniform convergent,which is obviously superior to traditional identification schemes.     

OPTIMIZATION DESIGN OF ADVANCED CORRECTION OF THE CONTROL SYSTEM BY A PASSIVE NETWORK

Optimization design of correction of the control systemby a passive network is studied in this paper.The design method guan-rantees collocation of a closed loop pole in a desired position,but alsominimizes the gain of the system amplifier,thus making the technicalrealization of the system easier.The design method is proved in thepaper.     

A NERUAL NETWORK FOR THE ADAPTIVE CONTROL OF A 2 ORDER NONLINEAR SYSTEM

This paper presents a new method of self tuning adaptive control which adopts a neural network to identify the characteristics of a second order nonlinear system, which is in turn applied to adaptive control. The simulations show that the method has good capability of sduty and adaptation.     

应用灰色系统理论对粮食储藏品质变化的分析研究

本研究应用灰色系统理论及其方法，对粮食储藏品质变化进行了认真、深入地分析研究，建立了小麦储藏品质变化的预测模型，还建立了小麦品质多因子动态变化模型。通过论证和检验，确定了这些模型的可用性，从而为粮食储藏研究工作提供了一个重要的认识工具。     

THE DYNAMIC MODEL AND OPTIMIZATION OF A NEW DYNAMIC VIBRATION ABSORBER

A method of forming the broadband dynamic absorber by paralleling two absorbers is proposed in view of the characteristics of the narrow suppression range of the traditional absorber. The formation of its dynamic model and optimization are studied as well.     

RANDOM SIMULATION OF THE PRODUCTION SYSTEM OF A MINE

The production-transportation system in a mine is analysed with the principle of system analysis in this paper and the working process of this system is simulated with the technology of random simulation in a computer. Finally, the optimal projects of designing and administering are put forward.     

THE DEVELOPMENT OF COMPUTER AIDED NORM OF WORKING HOUR PLANNING SYSTEM

Based on Group Technology, part families of the norm of working hour are formed according to the similarity among components. With the progressive regerssion, the models of the norm of working hour are built for every part family. A computer aided norm model building program and a computer aided norm of working hour planning system are developed. The system is successfully integrated with CAD/CAPP system. Some examples of the model building and calculation results are illustrated as well.     

ON HEAT TRANSFER OF A ROOF WITH FLOATING PLANTS

This paper discusses the mechanism of the reduction ofheat flux through a roof pond with floating plants.A thermal model ispresented and the analytical results are obtained.The results are ingood agreement with the experimental observation.     

ENERGY TRANSMISSION MATHEMATICAL MODELS OF MAIN DRIVING SYSTEM OF MACHINE TOOLS

Based on the energy flow path of the drive links of machine tools and the consideration that there exists simultaneously various energy losses in machine tools in operation, the energy transmission mathematical models of the main driving system of machine tools are created by analysing synthetically the energy losses in the motor and mechanical system of machine tools, which lays a foundation for the studies on the energy transmission laws, energy saving and energy information monitoring in machining processes.     

Thermal process model identification based on radial basisfunction neural networks

In order to accurately reflect the dynamic behavior and realize the whole optimal control of the thermal process, a novel modeling method of the RBF NN (Radial Basis Function Neural Networks) model is proposed to build nonlinear model. This method is based on entropy clustering and competitive learning algorithm, combined with nonlinear autoregressive moving average (NARMA) model to identify the RBF NN stucture, and the power vector is gotten by the least square algorithm. Two simulation experiments show that the proposed method of the identification based on NARMA model and RBF NN can accurately describe the non linearity of the process and has less hidden nodes.     

A NEW DISCONTINUOUS CURRENT MODEL FOR SCR DC MOTOR SPEED CONTROL SYSTEM AND CURRENT ADAPTIVE CONTROL

The paper presents a new approximative model suitable to discontinuous current and continuons current in the three-phase controlled bridge rectifier DC motor control system. This model offers a new approach for discontinuous current adaptive control.As an example of application of the model, digital simulation results of discontinuous current adaptive control in a double-closed-loop control system are presented.     

THE THREE-DIMENSIONAL CALCULATING MODEL OF INVERSE PROBLEM IN ECG AND A SPECIAL BOUNDRYVALUE PROBTEM

In this paper, the mathematical model and the three-dimensional finite clement formulation of inverse problem in electrocardiography (ECG) under a general inhomogcneous and anisotropic configuration of the torso conductor is focused on. The following points are especially considered: 1. The mathamatical model is described by a differential equation instead of the Fredholm integral equation. 2. A kind of special boundary value problem is defined as ill-posed boundary value problem. 3. A group of finite element formulation, in which the method that treats anisotropic medium, is built up. 4. The calculating method of ill-posed boundary value problem is discussed.     

DIGITAL SIMULATION OF HIGH VOLTAGE AC/DC PARALLEL SYSTEMS

The method of companion model is applied to the digital simulation of high voltage hybrid AC/DC systems for the first trme in this thesis.The mathematical model of the digital simulation of hybrid AC/DC systems is represented. This method can model the normal states, faults and games of faults of any hybrid AC/DC systems. The method has a series of advantages : saving the computation and the amounts of memory, high precision and fast calculation and it can be used with convenience. The simulation results of a hybrid AC/DC system arc in consistent with that of theoretical analysis. It shows that the mathematical model, the simulation method and the program in this thesis are correct.     

System Identification on Small-scale Unmanned Helicopter

This paper presents a fading memory based least squares identification method. Compared with the traditional system identification method applied on small scale unmanned helicopter, this method can reduce processing load and improve processing stability during identification. ARMAX model and MIMO model of small scale unmanned helicopter are sonstructed in this way and then do simulation on the models. The result shows that model of MIMO is more precise on representing the helicopter system.