THE J STRUCTURE IN ECONOMIC EVOLVING PROCESS

The economic evolution exhibits complexity. Behind the variable and fluctuant economic data there exists basic characters and rules. One basic structure in economic evolving process called as “J“ structure is studied by us. This kind of structure exists in a wide area, such as economic growth, technology innovation, international trade, education,human capital, ecology and environment etc. From the view of economic evolution, J structure has the character that system should suffer the pressure of initial investment with profit decreasing but get larger return afterwards. It is a kind of adaptation in complexe conomic systems; it reflects the adaptive and reformative ability of the system under the surrounding change. We illustrate the J structure by discussing economic growth. Based on a two-dimension dynamic system the geometric character and mechanism of J structure are studied, also the phase graphs with its condition are given. Also some further works are discussed.     

Grey systems for intelligent sensors and information processing

In a measurement system, new representation methods are necessary to maintain the uncertainty and to supply more powerful ability for reasoning and transformation between numerical system and symbolic system. A grey measurement system is discussed from the point of view of intelligent sensors and incomplete information processing compared with a numerical and symbolized measurement system. The methods of grey representation and information processing are proposed for data collection and reasoning. As a case study, multi-ultrasonic sensor systems are demonstrated to verify the effectiveness of the proposed methods.     

On Robust Stability of a Class of Uncertain Nonlinear Systems with Time—Varying Delay

The problem of robust stability of a class of uncertain nonlinear dynamical systems with time-delay is considered. Based on the assumption that the nominal system is stable, some sufficient conditions on robust stability of uncertain nonlinear dynamical systems with time-delay are derived. Some analytical methods and a type of Lyapunov functional are used to investigate such sufficient conditions. The results obtained in this paper are applicable to perturbed time-delay systems with unbounded time-varying delay. Some previous results are improved and a numerical example is given to demonstrate the validity of our results.     

On integration and adaptation in complex service systems

The services sector employs a large and growing proportion of workers in the industrialized nations, and it is increasingly dependent on information and communication technologies. While the interdependences, similarities and complementarities of manufacturing and services are significant, there are considerable differences between goods and services, including the shift in focus from mass production to mass customization （whereby a service is produced and delivered in response to a customer＇s stated or imputed needs）. In general, services can be considered to be knowledge-intensive agents or components which work together as providers and consumers to create or co-produce value. Like manufacturing systems, an efficient service system must be an integrated system of systems, leading to greater connectivity and interdependence. Integration must occur over the physical, temporal, organizational and functional dimensions, and must include methods concerned with the component, the management, and the system. Moreover, an effective service system must also be an adaptable system, leading to greater value and responsiveness. Adaptation must occur over the dimensions of monitoring, feedback, cybernetics and learning, and must include methods concerned with space, time, and system. In sum, service systems are indeed complex, especially due to the uncertainties associated with the human-centered aspects of such systems. Moreover, the system complexities can only be dealt with methods that enhance system integration and adaptation. The paper concludes with several insights, including a plea to shift the current misplaced focus on developing a science or discipline for services to further developing a systems engineering approach to services, an approach based on the integration and adaptation of a host of sciences or disciplines （e.g., physics, mathematics, statistics, psychology, sociology, etc.）. In fact, what is required is a services-related transdisciplinary - beyond a single disciplinary - ontology or taxon     

CONVERGENCE OF A CLASS OF MULTI-AGENT SYSTEMS IN PROBABILISTIC FRAMEWORK

Multi-agent systems arise from diverse fields in natural and artificial systems, and a basic problem is to understand how locally interacting agents lead to collective behaviors （e.g., synchronization） of the overall system. In this paper, we will consider a basic class of multi-agent systems that are described by a simplification of the well-known Vicsek model. This model looks simple, but the rigorous theoretical analysis is quite complicated, because there are strong nonlinear interactions among the agents in the model. In fact, most of the existing results on synchronization need to impose a certain connectivity condition on the global behaviors of the agents＇ trajectories （or on the closed-loop dynamic neighborhood graphs）, which are quite hard to verify in general. In this paper, by introducing a probabilistic framework to this problem, we will provide a complete and rigorous proof for the fact that the overall multi-agent system will synchronize with large probability as long as the number of agents is large enough. The proof is based on a detailed analysis of both the dynamical properties of the nonlinear system evolution and the asymptotic properties of the spectrum of random geometric graphs.     

Timeliness evaluation of task-oriented networked space-based information system

Task-oriented networked information system is an integrated information system which builds on multi-satellite networking to accomplish one or more tasks.In the background of emergency relief for applications,system working flow and response process are analyzed,and a timeliness effectiveness evaluation index system is constructed at multi-task level.The effectiveness is a measurement of promptness of information return.In evaluation process,system performance and tasks are associated,then an evaluation model based on efficacy function is established,and different evaluation criteria are selected for different tasks.A distributed simulation system is constructed,and the execution of task is decomposed.The simulation platform provides a comprehensive data source for evaluation.The results are easy to compare with each other,which reflects system time efficiency in different satellites networks and provides actual systems with basis and reference for design and application.     

Supply Chain as Complex Adaptive System and Its Modeling

Supply chain is a complex, hierarchical, integrated, open and dynamic network.Every node in the network is an independent business unit that unites other organizations to develop its value, the competition and cooperation between these units are basic impetus of the development and evolution of the supply chain system. The characteristics of supply chain as a complex adaptive system and its modeling are discussed in this paper, and use an example demonstrating the feasibility of CAS modeling in supply chain management study.     

Resource allocation with CCI suppression for multiuser MIMO-OFDM downlink in correlated channels

To minimize the overall transmit power while maintaining a constant data rate and target BER, a downlink adaptive resource allocation algorithm with jointing the exclusive manner and the shared manner is proposed for multiuser MIMO-OFDM system in correlated channels. The algorithm allocates all the subcarriers to different users according to their spatial correlations. The users with high spatial correlation are allocated in the same group and the exclusive manner is applied. The shared manner with an improved null broadening method, which improves the performance of co-channel interference （CCI） suppression and decreases the number of transmit antennas required, is applied between the different group users. As the user＇s direction of departure （DOD） changes very slowly, a looking up table method is used to reduce the computational complexity. The simulation results show that despite the angle spread of DOD, when compared with the exclusive manner, the proposed algorithm improves the spectral efficiency, and when compared with the TDMA-ZF （zero forcing） shared manner, the proposed algorithm decreases the total transmit power by at least 1 dB.     

Design of PID controller with incomplete derivation based on differential evolution algorithm

To determine the optimal or near optimal parameters of PID controller with incomplete derivation, a novel design method based on differential evolution （DE） algorithm is presented. The controller is called DE-PID controller. To overcome the disadvantages of the integral performance criteria in the frequency domain such as IAE, ISE, and ITSE, a new performance criterion in the time domain is proposed. The optimization procedures employing the DE algorithm to search the optimal or near optimal PID controller parameters of a control system are demonstrated in detail. Three typical control systems are chosen to test and evaluate the adaptation and robustness of the proposed DE-PID controller. The simulation results show that the proposed approach has superior features of easy implementation, stable convergence characteristic, and good computational efficiency. Compared with the ZN, GA, and ASA, the proposed design method is indeed more efficient and robust in improving the step response of a control system.     

MINIMAL INVERSION AND ITS ALGORITHMS OF DISCRETE-TIME NONLINEAR SYSTEMS

The left-inverse system with minimal order and its algorithms of discrete-time nonlinear systems are studied in a linear algebraic framework. The general structure of left-inverse system is described and computed in symbolic algorithm. Two algorithms are given for constructing left-inverse systems with minimal order.     

复杂系统的演化过程,n(n-1)律,自聚集

研究一类复杂系统的演化过程,给出一个网络模型,由此导出f(n)=n(n-1),用以在某种程度上定性地描写演化过程中聚集与功能变化的规律。这里n表示agents的聚集数量。熟知的关系式1+1>2是n=2时的特例。当n为小数时,n的增减对系统整体功能的影响显著,此情况将称为“小n机制”。当n充分大时,系统的整体功能将有大跃升,并可用n2度量,称此为“n2效应”。一般情况下,n(n-1)描写聚集-相互作用-功能跃升的模式,用此模式可对不同领域的演化过程作某种解释。     

On Fixed Points of Linguistic Dynamic Systems

1 Introduction1 Humans employ mostly words in computing and reasoning arriving at conclusions expressed as words from premises expressed in a natural language. When we deal with a special type of dynamic system that modeled by 搘ords? we use the theory of linguistic dynamic systems (LDS) by Wang[17, 18]. This is true especially when we deal with social or economic, rather than engineering or physical systems. For many large complex systems, however, due to the complexity involved and the in…     

复杂系统、复杂网络自相似结构的涌现规律

在现实世界的复杂系统中,树状分形广泛存在.最近对于复杂网络的研究又揭示大量网络为自相似结构,随之而来的问题是:自相似结构是如何形成的.本文结合复杂系统与复杂网络,给出一个树状生长模型,通过论证揭示:生长过程及自相似结构的涌现,可集中由简单的幂律体现:幂律是自组织形成的临界状态,在它的支配下,系统得以保持有序演化发展,并涌现层层相似的自相似结构,其分形维数或相应的指数,是系统功能的度量.复杂寓于简单,简单形式的幂律蕴含了自组织演化发展并涌现自相似结构的全部过程的信息,是支配现实世界广泛现象的动力学.     

Fuzzy Logic Based Evolving System and One Kind of Competition Mechanism

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The Similar Structures and Control Problems of Complex Systems

1 Introduction1 We consider the naturally evolving complex systems, such as biotic and social systems. In their evolving process, they always make up their weaknesses and develop their favorable factors. In such a way, their structures are gradually formed. In the structures of these systems, a feature is noteworthy, i.e., the local(partial) structure is similar to the global(overall). For social systems, for instance, in a country, the management organization of a province is similar to tha…     

导弹控制系统仿真技术

简要回顾了仿真技术在导弹武器系统研制和性能鉴定中日趋重要的地位的演变过程,以美国红外成像和毫米波寻的制导半物实仿真系统为例说明了世界发达国家对导弹控制系统仿真技术的高度重视,针对我国导弹控制系统仿真技术的发展现状提出了三个重点发展方向。     

AN ANP/DNP ANALYSIS OF ECONOMIC ELEMENTS IN TODAY＇S WORLD NETWORK ECONOMY

The network economy is a term for today’s global relationship among economic elements characterized by massive connectivity. The central act of the new era is to connect everything to everything in deep web networks at many levels of mutually interdependent relations, where resources and activities are shared, markets are enlarged and costs and risk are reduced. Network systems contain both positive and negative feedback. A variety of feedback processes create complex system behavior. For such a network the Analytic Network Process (ANP) approach seems to be very appropriate. The ANP method makes it possible to deal systematically with all kinds of dependence and feedback in the system. Dynamic models try to reflect changes in real or simulated time and take into account that the network model components are constantly evolving. Dynamic models use concepts of state variables, flows, and feedback processes. The Dynamic Network Process (DNP) is an extension of ANP that can deal with time dependent priorities in a networked economy. Petr Fiala is a Professor and the Deputy Head of the Department of Econometrics, University of Economics in Prague, the Czech Republic. He is a graduate of the University of Economics in Prague, Charles University in Prague, and the Rochester Institute of Technology in Rochester, NY, USA. He holds a PhD from the University in Prague. His current research interests include modeling of production systems, supply chain management, project management, and multicriteria and group decision making. He has been on study and research tours to Germany, Russia, the USA, India and Cuba. He is a member of professional societies for Operations Research and Multiple Criteria Decision Making and is the Vice President of the Czech Society of Operations Research and the Czech Republic representative in EURO (The Association of European Operational Research Societies). He is the author of books, lecture notes and papers in quantitative models and methods in management and economics.     

New chaos-based encryption scheme for digital sequence

To enhance the anti-breaking performance of privacy information, this article proposes a new encryption method utilizing the leaping peculiarity of the periodic orbits of chaos systems. This method maps the secret sequence to several chaos periodic orbits, and a short sequence obtained by evolving the system parameters of the periodic orbits in another nonlinear system will be the key to reconstruct these periodic orbits. In the decryption end, the shadowing method of chaos trajectory based on the modified Newton-Raphson algorithm is adopted to restore these system parameters. Through deciding which orbit each pair coordinate falls on, the original digital sequence can be decrypted.     

Lorenz混沌系统的非线性反馈错位同步控制

在驱动-响应系统框架下,提出了一种新的混沌同步——错位同步的概念。这种同步不同于完全同步,它要求驱动系统的状态向量中至少有一个状态分量不与响应系统的对应分量,而是与其他任一状态分量随着时间变化达到一致。应用Lyapunov稳定性理论,采用非线性反馈控制方法研究了Lorenz混沌系统的错位同步。数值仿真研究表明,错位同步的可实现性和所提控制方案的有效性。