First Swedish-Chinese Control Conference

The bi-national conference First Swedish-Chinese Control Conference will be held at KTHon August 21-22, 2003. The purpose of the conference is to promote the exchanges betweenthe Swedish and the Chinese control communities. For this purpose, such conferences will beheld at a regular basis, and next time it will be held in Beijing.     

An Application of Fuzzy Decision Theory in Combat Decision Simulation

In this paper a model of military command process under the combat situation is presented. The model is based on the Lanchester Equations and Fuzzy Decision Theory. The decision of a military commander is usually a process from precise to fuzzy and then from fuzzy to precise,and the model fitted this process well. The model was used in a Warfare Simulation System whose object is to evaluate the effectiveness of the military C3I systems.     

2nd Beijing International Conference on System Simulation and Scientific Computing

DATEOctober,1992VENUEBeijingThe People’s Republic of ChinaSPONSORChinese Association for System SimulationCO—SPONSORS—Federation of European Simulation Societies(EUROSIM)一International Association for Mathematics and Computers in Simulation(IMACS)—Japan Society for Simulation Technology(JSST)—Society for Computer Simulation International(SCSI)     

Research of Monte Carlo Simulation in Commercial Bank Risk Management

Simulation method is an important-tool in financial risk management. It can simulate financial variable or economic wriable and deal with non-linear or non-nominal issue. This paper analyzes the usage of “Monte Carlo“ approach in commercial bank risk management.     

2001 CIE International Conference on Radar

INVITATIONThe International Conference on Radar will be taken place on October 15-18 2001 at MediaCenter Hotel, Beijing, China. It is sponsored by Chinese Institute of Electronics (CIE) andco-sponsored by IEEE AES, IEE Electronic Division, SEE (France) and IEICE (Japan).TOPICSPapers solicited in all areas of radar technology and applications are welcome. Preliminarytopics to be covered at Radar 2001 including the followings:Radar Systems Emerging Technologies System Eng…     

Micro-mechanism and Dynamic Simulation of Spatial Agglomeration and Knowledge Spillover北大核心CSCD

According to the study of “new” new economic geography, there are three “black boxes” in terms of the setting of firm productivity, the mechanism of knowledge spillover between firms, and the sources of the increase in agglomerated areas’ productivity. Based on the ideas and methods of Complexity and Agent-based Computational Economics, we use Genetic Algorithms to encode firms’ knowledge structure and develop an agent-based spatial economic evolution simulation platform to simulate the process of firms’ productivity improvement and spatial agglomeration through knowledge spillover and innovation. Simulation experiments demonstrate that the knowledge spillover leads to dynamic heterogeneity of firms, and the flow of firms between regions is progressive and bidirectional. Then, in the early stage of the spatial agglomeration process, the increase in regional productivity is due to the “pull-up effect” formed by the entry of high-efficiency firms and the combined effect of knowledge spillover, while in the later stage of the agglomeration process, the increase in regional productivity is mainly due to local knowledge spillover and the “pull-down effect” of the entry of low-efficiency firms. © 2023 Editorial Borad of Complex Systems and Complexity Science. All rights reserved.     

DESIGN OF A SOFTWARE AGENT FOR BUSINESS GAMING SIMULATION

1. Introduction 1.1 Gaming Simulation Gaming Simulation is categorized into the following five fields: Entertainment games, Educational games, Experimental games, Research games, and Operational games (Stahl, 1983). Business game is one of the Educational games. Business game is a tool that focuses on understanding about business and the principle of management through the experience in a virtual world. Through this method the players have roles of managers or presidents of companies (Ter…     

Grey Dynamic Model,Forecasting & Comparison on the Development Trend in Track & Field Sports of Asia & the World

By establishing grey dynamic model and adopting its method,this essay makes forecastand comparison on the developing trend in trach and field sports of Asia and the world.To higherthe model's precise,some sequential data are processed by slide mean value,a Maclourin Exponsionis made to some exponents of less adaptable response function and acceptance or rejection is madeaccording to the fitting mode of the number series and their development.In the quatitative analysis,the first locus of the developing coefficient of the model in the sports field is the main basis.Theanalysis indicates that women's and men's field sports in Asia are developing respectively much faster,a little faster than that of the world,but men's track sports in Asia are progressing paralled to thatof the world, and women's track in Asia remains behind.     

Call for Papers 6~(th) International Conference on Service Systems and Service Management(ICSSSM'09)

Xiamen,PR China June 13-15,2009 http://sm2.xmu.edu.cn/icsssm09/ Conference Theme and Scope Service is an emerging sector for economic growth in the 21st century.It covers almost all industries and our daily life from medical care to the production of high-tech products.A nation's economic evolution highly relies on its service systems and service management.The production of a product in a manufacturing plant may be interrupted because of an unreliable logistics service leading to the     

Report on the Second Chinese-Swedish Conference on Control

The Second Chinese-Swedish Conference on Control was held on October 15-18, 2004 in Beijing, China, which was jointly organized by the Academy of Mathematics and Systems Science (AMSS), Chinese Academy of Sciences (CAS), and the Royal Institute of Technology, Sweden. The conference was supported by the National Natural Science Foundation of China, the Academy of Mathematics and Systems Science(AMSS), the International Research Team on Complex Systems, the Laboratory of Systems and Control, AMSS, CAS, China, and the Royal Institute of Technology, Sweden.     

Modified joint probabilistic data association with classification-aided for multitarget tracking

Joint probabilistic data association is an effective method for tracking multiple targets in clutter, but only the target kinematic information is used in measure-to-track association. If the kinematic likelihoods are similar for different closely spaced targets, there is ambiguity in using the kinematic information alone; the correct association probability will decrease in conventional joint probabilistic data association algorithm and track coalescence will occur easily. A modified algorithm of joint probabilistic data association with classification-aided is presented, which avoids track coalescence when tracking multiple neighboring targets. Firstly, an identification matrix is defined, which is used to simplify validation matrix to decrease computational complexity. Then, target class information is integrated into the data association process. Performance comparisons with and without the use of class information in JPDA are presented on multiple closely spaced maneuvering targets tracking problem. Simulation results quantify the benefits of classification-aided JPDA for improved multiple targets tracking, especially in the presence of association uncertainty in the kinematic measurement and target maneuvering. Simulation results indicate that the algorithm is valid.     

Consensus design for continuous-time multi-agent systems with communication delay

This paper investigates a consensus design problem for continuous-time first-order multiagent systems with uniform constant communication delay.Provided that the agent dynamic is unstable and the diagraph is undirected,sufficient conditions are derived to guarantee consensus.The key technique is the adoption of historical input information in the protocol.Especially,when agent＇s own historical input information is used in the protocol design,the consensus condition is constructed in terms of agent dynamic,communication delay,and the eigenratio of the network topology.Simulation result is presented to validate the effectiveness of the theoretical result.     

Control of Chaos in Lu System Subject to Mismatch Uncertainties Using Sliding Mode Design

A strategy is proposed to control Lu It is implemented by using sliding mode control system with mismatch uncertainties. The proposed controller ensures the occurrence of the sliding mode motion. It is guaranteed that under the proposed control law, the system state can be regulated to a specific point or in a predictable neighborhood of desired points in the state space even with mismatch uncertainties. Simulation results have illustrated the effectiveness and robustness of the proposed schemes even though the control input is nonlinear.     

Blind estimation of phase offset in OFDM subcarrier for coherent demodulation

An adaptive algorithm named low complexity phase offset estimation (LC-POE) is proposed for orthogonal frequency division multiplexing (OFDM) signals. Depending on the requirement, the estimation procedure is divided into several scales to accelerate the adaptive convergence speed and ensure the estimation accuracy. The true phase offset is estimated through shrinking the detection range and raising the resolution scale step by step. Both the convergence performance and complexity are discussed in the paper. Simulation results show the effectiveness of the proposed algorithm. The LC-POE algorithm is promising in the application of OFDM systems.     

Hybrid algorithm for project scheduling with capacity constraint

Motivated by the projects constrained by space capacity and resource transporting time, a project scheduling probIem with capacity constraint was modeled. A hybrid algorithm is proposed, which uses the ideas of bi-level scheduling and project decomposition technology, and the genetic algorithm and tabu search is combined. Topological reordering technology is used to improve the efficiency of evaluation. Simulation results show the proposed algorithm can obtain satisfied scheduling results in acceptable time.     

Orthogonal discrete frequency coding waveform design based on chaos

Orthogonal waveform design is quite an important issue for waveform diversity systems. A chaos based method for the orthogonal discrete frequency coding waveform (DFCW) design is proposed to increase the insufficient orthogonal waveform number and their finite coding length. Premises for chaos choosing and the frequency quantification method are discussed to obtain the best correlation properties. Simulation results show the validity of the theoretic analysis.     

Robust Feedback Controller for Exponential Stability of Nonlinear Systems with Mismatched Uncertainties

The robust stabilization of nonlinear systems with mismatched uncertainties is investigated. Based on the stability of the nominal system, a new approach to synthesizing a class of continuous state feedback controllers for uncertain nonlinear dynamical systems is proposed. By such feedback controllers, the exponential stability of uncertain nonlinear dynamical systems can be guaranteed. The approach can give a clear insight to system analysis. An illustrative example is given to demonstrate the utilization of the approach developed. Simulation results show that the method presented is practical and effective.     

MODEL SELECTION FOR LOG-LINEAR MODELS OF CONTINGENCY TABLES

In this paper, we propose an information-theoretic-criterion-based model selection procedure for log-linear model of contingency tables under multinomial sampling, and establish the strong consistency of the method under some mild conditions. An exponential bound of miss detection probability is also obtained. The .selection procedure is modified so that it can be used in practice. Simulation shows that the modified method is valid. To avoid selecting the penalty coefficient in the information criteria, an alteruative selection procedure is given.     

Robust stability analysis for a cruise missile

A global controller design methodology for a flight stage of the cruise missile is proposed. This methodology is based on the method of least squares, To prove robust stability in the full airspace with parameter disturbances, the concepts of convex polytopic models and quadratic stability are introduced, The effect of aerodynamic parameters on system performance is analyzed. The designed controller is applied to track the overloading signal of the cruise segment of the cruise missile, avoiding system disturbance owing to controller switching, Simulation results demonstrate the validity of the proposed method.     

The Numerical Simulation of Flow Field of Jet System

In this paper, the internal fluid motion of a jet system is described by the Navier Stokes mechanics equations. For the simulation of the motion, the penalty function finite element method is used, and the velocity vectors and stream function curves are obtained. Using the Prandtl theory, this paper derives the free jet velocity and the jet bunch width in a half-space, the latter of which is amended by experiment. The results obtained in this paper are applied to micro-type high pressure water jet cleaner and the ejector of rocket engine.