This paper is concerned with an application study of model-based fault detection method to a ship propulsion system. When modeling the object system, Quasi-ARMAX model with multi-model form is used. In this model, the...
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In order to determine congruence between proposed organizational architectures and evolving mission requirements, an executable model was developed in support of a subject experiment testing the hypothesis that an org...
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The stock markets are well known for wide variations in prices over short and long terms. These fluctuations are due to a large number of deals produced by agents and act independently from each other. However, even i...
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The stock markets are well known for wide variations in prices over short and long terms. These fluctuations are due to a large number of deals produced by agents and act independently from each other. However, even in the middle of the apparently chaotic world, there are opportunities for making good predictions. In this paper the Nikkei stock prices over 1500 days from July to Oct. 2002 are analyzed and predicted using a Hurst exponent (H), a fractal dimension (D), and an autocorrelation coefficient (C). They are H=0.6699 D=2-H=1.3301 and C=0.26558 over three days. This obtained knowledge is embedded into the structure of our developed time delayed neural network. It is confirmed that the obtained prediction accuracy is much higher than that by a back propagation-type forward neural network for the short-term. Although this predictor works for the short term, it is embedded into our developed fuzzy neural network to construct multi-blended local nonlinear models. It is applied to general long term prediction whose more accurate prediction is expected than that by the method proposed.
This paper is concerned with an application study of model-based fault detection method to a ship propulsion system. When modeling the object system, Quasi-ARMAX model with multi-model form is used. In this model, the...
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This paper is concerned with an application study of model-based fault detection method to a ship propulsion system. When modeling the object system, Quasi-ARMAX model with multi-model form is used. In this model, the system non-linearity is incorporated into model parameters by using non-linear non-parametric models (NNMs). Kullback discrimination Information (KDI) is introduced as fault detection index to evaluate the distortion in identified model, which is caused by a fault. The effectiveness of the method is verified through simulation studies on the ship propulsion system.
A hierarchical approach for the abstraction of digital VLSICs is presented. Circuit layout is hierarchically abstracted into logical constructs of binary tree structures, which may be manipulated to extract circuit fu...
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A hierarchical approach for the abstraction of digital VLSICs is presented. Circuit layout is hierarchically abstracted into logical constructs of binary tree structures, which may be manipulated to extract circuit functionality for the purpose of verifying design correctness. VLSIC design specification in the form of HDL is hierarchically decomposed to generate logical formulae for the given specification. By comparing the above, a verification report is obtained
In this paper, we propose a method to estimate fault efficiency for path delay faults based on untestable path analysis. In path delay fault testing, fault coverage of test patterns is usually, very low, because logic...
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In this paper, we propose a method to estimate fault efficiency for path delay faults based on untestable path analysis. In path delay fault testing, fault coverage of test patterns is usually, very low, because logic circuits often have huge number of paths including many untestable paths. Hence we should compute fault efficiency rather than fault coverage, but it is too difficult to compute exact fault efficiency in a short time, because there is no method to compute total number of untestable paths quickly. The proposed method statistically estimate the number of untestable paths based on untestable path analysis, and compute fault efficiency. Experimental results show that the proposed method can accurately estimate fault efficiency of given test patterns in a reasonable time.
The Smith predictor and its variants are applied to the boundary control of Euler-Bernoulli beam equation with delayed boundary measurement to solve the well-known instability problem due to a small time delay. Simula...
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ISBN:
(纸本)0780379241
The Smith predictor and its variants are applied to the boundary control of Euler-Bernoulli beam equation with delayed boundary measurement to solve the well-known instability problem due to a small time delay. Simulation results demonstrate the effectiveness of the proposed method.
The problem of constructing a receding-horizon estimator for nonlinear discrete-time systems affected by disturbances has been addressed. The noises are assumed to be bounded, additive, and acting on both state and me...
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ISBN:
(纸本)0780379241
The problem of constructing a receding-horizon estimator for nonlinear discrete-time systems affected by disturbances has been addressed. The noises are assumed to be bounded, additive, and acting on both state and measurement equations. The estimator is designed according to a sliding-window strategy, i.e., so that it minimizes a receding-horizon estimation cost function. The stability of the resulting filter has been investigated and an upper bound on the estimation error has been found. Such a filter can be suitably approximated by parametrized nonlinear approximators as, for example, neural networks. A min-max algorithm turns out to be well-suited to selecting these parameters, as it allows one to guarantee the stability of the error dynamics of the approximate receding-horizon filter. This estimator is designed off line in such a way as to be able to process any possible information pattern. This enables it to generate state estimates almost instantly with a small on-line computational burden.
The paradigm of design for biosystem-on-a-chip (BioSoC), is that multidisciplinary skills are required. Thus, the educational goals are to develop an understanding of micro/macro collaboration along with the ability t...
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The paradigm of design for biosystem-on-a-chip (BioSoC), is that multidisciplinary skills are required. Thus, the educational goals are to develop an understanding of micro/macro collaboration along with the ability to apply and use multidisciplinary skills for the design and performance evaluation of a "biosystem on a chip". The need for the architectural design of the BioSoC addresses the next-generation of intelligent information processing systems.
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