Conventional analysis techniques of queueing systems typically assume that the stochastic process under study is already in steady state. This assumption is, however, not valid if the life cycle of the process is not ...
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(纸本)0818685662
Conventional analysis techniques of queueing systems typically assume that the stochastic process under study is already in steady state. This assumption is, however, not valid if the life cycle of the process is not large enough. Previous work in transient analysis of queueing systems usually focuses on Markov models. This paper, in contrast, presents an analysis technique for investigating transient performance of queueing systems that are not necessarily Markovian.
Object-oriented database systems aim at meeting the data modelling, performance, cooperative design and version management requirements of current advanced applications, such as CAD (computer-aided design), CAM (compu...
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Object-oriented database systems aim at meeting the data modelling, performance, cooperative design and version management requirements of current advanced applications, such as CAD (computer-aided design), CAM (computer-aided manufacturing), CASE (computer-aided software engineering), CIM (computer integrated manufacturing), hypermedia and expert systems. This paper presents the ALEX Object Manager, which is a part of the ALEX object-oriented database management system that is being developed based on the ODMG-93 standard. The system decomposition and process layout are presented, some implementation problems are discussed and the current status of the system is reported.
In this paper, several methods to enlarge by parametrization the families of wavelets are proposed. The main goal is to prove that every remarkable classical wavelet can generate a class of wavelets, each one preservi...
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In this paper, several methods to enlarge by parametrization the families of wavelets are proposed. The main goal is to prove that every remarkable classical wavelet can generate a class of wavelets, each one preserving the main characteristics of the original, but offering more mobility for time-frequency representations. Here, an important class is described: tight frames using wavelets. This class is used for apllications like: seismic signal processing, underwater acoustics, radar processing, image processing, automatic interpretation of images.
This paper presents a model-based approach to fault detection of dynamic systems, which is robust to unmodeled dynamics. A “Quasi-ARMAX model᾿ is first proposed for describing nonlinear systems by incorporating a gro...
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This paper presents a model-based approach to fault detection of dynamic systems, which is robust to unmodeled dynamics. A “Quasi-ARMAX model᾿ is first proposed for describing nonlinear systems by incorporating a group of certain nonlinear structures into a linear ARMAX structure. The model can be used for a best linear approximation of the system, as well as for the estimation of resulting unmodeled dynamics, by a hierarchical implementation of recursive identification. Then robust fault detection is performed based on thresholding approach using Kullback discrimination information as fault detection index, in which the estimated unmodeled dynamics is incorporated.
This research is concerned with fault detection of nonlinear systems using Kullback discrimination information (KDI) as an index. A hybrid quasi-ARMAX model is proposed, which combines a linear ARMAX model and a multi...
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This research is concerned with fault detection of nonlinear systems using Kullback discrimination information (KDI) as an index. A hybrid quasi-ARMAX model is proposed, which combines a linear ARMAX model and a multi-ARX-model based on interpolation. In the case where the faults occur on the ARMAX model part, a KDI-based "robust" fault detection is performed, in which multi-ARX-model part is treated as error due to nonlinear undermodeling. In other cases, the model is transformed into several local ARMAX models and fault detection is performed by using the KDI to discriminate each identified local model. In this paper, we mainly concentrate our discussion on the latter cases.
Net condition/event systems (NCES) have been defined to provide a modular modelling framework for discrete event systems. NCES are based on the interconnection of modules whose dynamic behavior is modeled by means of ...
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Net condition/event systems (NCES) have been defined to provide a modular modelling framework for discrete event systems. NCES are based on the interconnection of modules whose dynamic behavior is modeled by means of Petri nets. The interconnection is performed by signals only. The resulting system is no longer an ordinary, classical Petri net. Hence, if we want to analyse those systems by means of methods for Petri nets, we have to generalize the formalisms of Petri nets. We call those extended nets signal/event nets. In this paper, signal/events nets are defined and their position in the hierarchy of computational models is shown. Although the main problems are undecidable, analysis of signal/event nets is not impossible.
A powerful method for the modeling of the task processing of anti-aircraft tactic command and control systems (AATCCS) via stochastic Petri net (SPN) tool is proposed and discussed. The principle of the analysis of ta...
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A powerful method for the modeling of the task processing of anti-aircraft tactic command and control systems (AATCCS) via stochastic Petri net (SPN) tool is proposed and discussed. The principle of the analysis of task processing capacity for a discrete event system based on SPN model is established. The task processing model of a generic typical anti-aircraft tactic C2 systems with two-level command centers is built, and the procedure to the analysis of the maximum information processing capacity of the systems is developed. The method and results show their promise in their applications to real C2 system design.
Proposes a combined controller structure and algorithm which integrates a cerebellar model articulation controller (CMAC) with fuzzy logic and bang-bang control under an intelligent supervisor. This neuro-fuzzy contro...
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Proposes a combined controller structure and algorithm which integrates a cerebellar model articulation controller (CMAC) with fuzzy logic and bang-bang control under an intelligent supervisor. This neuro-fuzzy controller has self-learning ability in real-time and can readily be applied to industrial process plants. The numerical results of simulation studies, which demonstrate the benefit and feasibility of the proposed algorithm, are presented.
In the paper a continuous-time approach to parameter estimation of continuous-time systems is addressed. A linear continuous-time single-input single-output system model described by means of a transfer function is ta...
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In the paper a continuous-time approach to parameter estimation of continuous-time systems is addressed. A linear continuous-time single-input single-output system model described by means of a transfer function is taken into consideration. A weighted quadratic criterion function, which defines the quality of the estimation process, the resulting least-squares algorithm and its characteristics are expressed in the continuous-time domain. In order to accommodate the continuous-time design to the discrete-time domain, various numerical methods are proposed. Simulation results that illustrate the performance of the proposed methods are presented and discussed.
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