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Systems Engineering and Electronics, Journal of

Issue 4 • Date Dec. 2003

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Displaying Results 1 - 20 of 20
  • [Front cover]

    Page(s): c1
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    Freely Available from IEEE
  • Copyright page

    Page(s): 1
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  • Contents

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  • Shortest path routing algorithm based on chaotic neural network

    Page(s): 1 - 6
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (1368 KB)  

    A shortest path routing algorithm based on transient chaotic neural network is proposed in this paper. Compared with previous models adopting Hopfield neural network, this algorithm has a higher ability to overcome the local minimum, and achieves a better performance. By introducing a special post-processing technique for the output matrixes, our algorithm can obtain an optimal solution with a high probability even for the paths that need more hops in large-sizenetworks. View full abstract»

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  • Method for risky multiobjective group decision-making and its application

    Page(s): 7 - 12
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    The nlultio bjective group decision-making problem under risk is common in reality. This paper focuses on the study about risky multiobjective group decision-making problem where the index value is not certain. We give indexes classifying method and index normalizing formula of this type problem. By building objective function that minimizes general weighted distance from every alternative to the relatively best and worst alternative, the optimal membership degree of every decision-maker to every alternative can be obtained, and by building another objective function that minimizes general weighted distance from the optimal membership degree of every decision-maker to every alternative to the group optimal alternative and the group inferior alternative, the optimal membership degree of every decision-maker to every alternative can be obtained, which are both based on probability theory and fuzzy theory. Aftermost a model is established which collects group preferences. This method provides a new idea and approach for solving multiobjective decision-making problem among uncertain system, which is applicable for practical problem. Finally a case study shows a satisfactory result. View full abstract»

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  • Modeling of non-coherent sequential acquisition process for DS/SS signals

    Page(s): 13 - 19
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (1317 KB)  

    A modified non-coherent sequential detection decision logic based on continuous accumulation to achieve fast PN code acquisition is proposed. To simplify the design and analysis. the equivalent relationship between the likelihood ratio of the current sample and that of all the previous samples is deduced. The scheme is proved to be an optimum sequential detection under certain assumptions. Because the average sample number (ASN) can not be calculated through the methods applied to the conventional sequential detection, an algorithm is also provided, which can estimate both the probability density function (pdf) and the upper threshole of ASN. The desired probabilities of false alarm and detection, as well as faster PN code acquisition compared to the conventional sequential detection can be achieved by employing this structure. In addition, Rayeigb-faded reception case is also Taken into consideration. Performances of the proposed schemes are obtained, which suggest that the proposed non-coherent sequential detection is more desirable. View full abstract»

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  • Pragmatic approach to adaptive turbo coded modulation

    Page(s): 20 - 24
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    This paper presents a pragmatic adaptive scheme for TuCM over slowly fading channels. The adaptive scheme employs a single turbo coded modulator composed of a variable-rate turbo encoder and a variable-rate variable-power MQAM for all fading regions, so it has an acceptable complexity to implement. The optimal adaptive TuCM scheme is determined subject to various system constraints. Simulations have been performed to measure the performance of the scheme for different parameters. It is shown that adopting both the turbo coded modulator and the transmit power achieves a performance within 2.5 dB of the fading channel capacity. View full abstract»

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  • Dynamic characteristics of inter-satellite links in LEO networks

    Page(s): 25 - 29
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (1132 KB)  

    To establish an efficient inter-satellite link (ISL) in an LEC) network, the effect of geometric characteristics of ISL on the ISLs and the devices on the LEO satellite should be examined. Because of the continuous movement of the LEO satellite, the time-varying behaviours of the ISL's geometric characrersistics continuously change with the change of the satellite's position on the orbit. These dynamic geometric characteristics of the ISLs are important for ISL's performance analyzing and the design of the devices on the LEO satellite. This paper describes dynamic geometric characteristics of ISL, analyzes the impact of these regulations on the tracking system of the satellite's antenna and the power adjusting system of the satellite'sTransmitter, with the Iridium system as an example. View full abstract»

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  • Study on the generation of ultra-wideband (UWB) high power microwave

    Page(s): 30 - 33
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    The experimental study of ultra-wideband (UWB) technology. its generation and on-line measurement are presented. An experimental repetitive UWB system is designed, manufactured. and tested. High-pressure spark gap switch and its components, as well as oil spark gap switch are studied experimentally on the system. Experimental results indicate that the system operates at a 200 pps repetitive rate with a stable performance. 100 MW peak power UWB pulses are obtained on the system. Fast-time response: capacitive divider is designed and fabricated. allowing for an accurate measurement of the high power UWB signal. The main issues related to the design of the switch and the UWB signal online measurement are discussed. View full abstract»

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  • Componentwise asymptotic stability of continuous-time interval system

    Page(s): 34 - 38
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (996 KB)  

    A special type of asymptotic (exponential)stability namely componentwise asymptotic (exponential) stability for the continuous-time interval system is investigated. A set-valued map that represents the constraint of the state of the system is defined. And, by applying The viability theory of differential equation. sufficient and necessary conditions for the componentwise asymptotical (exponential) stability of this kind of systems are given. View full abstract»

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  • Global convergence of adaptive generalized predictive controller based on least squares algorithm

    Page(s): 39 - 48
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    Some papers on stochastic adaptive control schemes have established convergence algorithm using a leastsquares parameters. With the popular application of GPC, global convergence has become a key problem in automatic control theory. However, now global convergence of GPC has not been established for algorithms in computing a least squares iteration. A generalized modeof adaptive generalized predictive control is presented. The global convergebce is also given on the basis of estimating the parameters of GPC by least squares algorithm. View full abstract»

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  • Online delay-evaluation approach in networked control systems

    Page(s): 49 - 54
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    This paper presents an online evaluation approach of time delays for networked control systems (NCS), which characterizes the time delays without any synchronized clock in the network and any assumptions of time delays. With this approach, an optimal control scheme based on the approach is designed to achieve the desired performance despite the uncertain delays in the system. The experimental results based on CANbus illustrate the effectiveness of the proposed control design and satisfactory performance of the closed-loop system. View full abstract»

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  • Study on the robot robust adaptive control based on neural networks

    Page(s): 55 - 58
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    Force control based on neural networks is presented. Under the framework of hybrid control, an RBF neural network is used to compensate for all the uncertainties from robot dynamics and unknown environment first. The technique will improve the adaptability to environment stiffness when the end-effector is in contact with the environment, and does not require any a priori knowledge on the upper bound of syste uncertainties. Moreover, it need not compute the inverse of inertia matrix. Learning algorithms for neural networks to minimize the force error directly are designed. Simulation results have shown a better force/position tracking when neural network is used. View full abstract»

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  • Design and application of an intelligent agent for web information discovery

    Page(s): 59 - 68
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (5288 KB)  

    With the propagation of applications on the internet, the internet has become a great information source which supplies users with valuable information. But it is hard for users to quickly acquire the right information on the web. This paper an intelligent agent for internet applications to retrieve and extract web information under user's guidance. The intelligent agent is made up of a retrieval script to identify web sources, an extraction script based on the document object model to express extraction process, a data translator to export the extracted information into knowledge bases with frame structures, and a data reasoning to reply users'questions. A GUI tool named Script Writer helps to generate the extraction script visually, and knowledge rule databases help to extract wanted information and to generate the answer to questions. View full abstract»

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  • Study on the medical image distributed dynamic processing method

    Page(s): 69 - 76
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    To meet the challenge of implementing rapidly advanced, time-consuming medical image processing algorithms, it is necessary to develop a medical image processing technology to process a 2D or 3D medical image dynamically on the web. But in a premier system, only static image processing can be provided with the limitation of web technology. The development of Java and CORBA (common object request broker architecture) overcomes the shortcoming of the web static application and makes the dynamic processing of medical images on the web available. To develop an open solution of distributed computing, we integrate the Java, and web with the CORBA and present a web-based medical image dynamic processing methed, which adopts Java technology as the language to program application and components of the web and utilies the CORBA architecture to cope with heterogeneous property of a complex distributed system. The method also provides a platform-independent, transparent processing architecture to implement the advanced image routines and enable users to access large dataset and resources according to the requirements of medical applications. The experiment in this paper shows that the medical image dynamic processing method implemented on the web by using Java and the CORBA is feasible. View full abstract»

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  • State fusion estimation for multilevel multisensor system

    Page(s): 77 - 83
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    Based on the single sensor Kalman filtering equations, this paper presents two-level and three-level optimal centralized and distributed estimation algorithms for hierarchical multisensor systems. The solution shows that when the correlated matrix, the mean of noise, the control input, and the measurement error are all zero, the result in this paper turns out to be the standard algorithm discussed. Simulation shows that the mean of noise, the control input, and the measurement error will not change the estimation covariance and the estimation covariance fluctuates greatly when the cross-correlated matrix is similar to the covariance of process noise. View full abstract»

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  • Pseudo-random sequences generator based on discrete hyperchaotic systems

    Page(s): 84 - 89
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    We first design a discrete hyperchaotic system via piecewise linear state feedback. The states of the closed loop system are locally expanding in two directions but absolutely bounded on the whole, which implies hyperchaos. Then, we use three suchlike hyperchaotic systems with different feedback gain matrices to design a pseudo-random sequence generator (PRSG). Through a threshold function, three sub-sequences generated from the output of piecewise linear functions are changed into 0–1 sequences. Then, followed by XOR operation, an unpredictable pseudo-random sequence (PRS) is ultimately obtained. The analysis and simulation results indicate that the PRS, generated with hyperchaotic systems, has desirable statistical features. View full abstract»

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  • New hybrid genetic algorithm for vertex cover problems

    Page(s): 90 - 94
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    This paper presents a new hybrid genetic algorithm for the vertex cover problems in which scan-repair and local improvement techniques are used for local optimization. With the hybrid approach, genetic algorithms are used to perform global exploration in a population, while neighborhood search methods are used to perform local exploitation around the chromosomes. The experimental results indicate that hybrid genetic algorithms can obtain solutions of excellent quality to the problem instances with different sizes. The pure genetic algorithms are outperformed by the neighborhood search heuristics procedures combined with genetic algorithms. View full abstract»

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  • Multiple-attribute and multilevel synthetic evaluation model and its application

    Page(s): 95 - 98
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (750 KB)  

    On the basis of analyzing the flaws of present multiple-attribute and multilevel evaluation methods, concerning the problem of characteristics of the multiple-attribute and multilevel system's appraisal and the particular emphasis onthe respective attributes in the evaluation process, as well as its relevance to the environment, an optimal attribute systemis proposed, and the multiplicative analytic hierarchy process (MAHP) is used to obtain subjective weight coefficients andthe objective weight coefficient evaluating method is given. The deviation between the index value of each level and thevalues of the same index of other levels are formulated, and an optimal model is gained, thus establishing the weight coefficientsof the whole optimal attribute system. Furthermore, the detailed implementation procedure of this method is introduced. Besides, favorable results have been gained by applying the model to the practical problems of economic evaluation. View full abstract»

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  • Chaotic neural network technique for “0–1” programming problems

    Page(s): 99 - 105
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    0–1 programming is a special case of the integer programming, which is commonly encountered in many optimization problems. Neural network and its general energy function are presented for 0–1 optimization problem. Then, the 0–1 optimization problems are solved by a neural network model with transient chaotic dynamics (TCNN). Numerical simulations of two typical 0–1 optimization problems show that TCNN can overcome HNN's main drawbacks that it suffers from the local minimum and can search for the global optimal solutions in to solveing 0–1 optimization problems. View full abstract»

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Aims & Scope

Journal of Systems Engineering and Electronics reports the latest developments and achievements in both theoretical and practical aspects of systems engineering, electronics and related research areas.

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Editor-in-Chief
Professor Rong Shi
Journal of Systems Engineering and Electronics