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This paper presents detailed modeling of a novel electro-hydraulic variable valve actuator for internal combustion engines that is capable of continuously varying valve timing and dual-lift. First, nonlinear mathematical system model is developed component-by-component, considering electromagnetic, mechanical, and fluid dynamics, time delay and time-varying parameters. Second, in order to develop...
The entire powertrain system has been analyzed and the corresponding software components model library is designed on the platform of Simulink according to the system requirement. The powertrain control system has been set up and verified through the rapid control prototyping(RCP) simulation using the proposed library. The design and simulation of the powertrain control system show the configurability...
An integrated powertrain control model is built in Simulink/Stateflow in this paper. This control model is transformed in Targetlink to conduct the model-in-the-loop(MIL) simulation and software-in-the-loop(SIL) simulation. By combining the C code generated after SIL with the underlying code of the single chip, the control procedure is finished. By downloading the code into the hardware, the hardware...
Based on deduced kinetics relations between the locations of four wheels and the mass center of sprung mass under the influence of vertical and lateral tire forces, a four-wheels-independent-vibration absorbing (4WIV) vehicle was presented. Consider the traditional car model with fifteen degree of freedoms could be acted as a combination of four independent controllable quarter vehicle systems, a...
Basing on the sample of typhoon from 2001 to 2010 for 10 years in the Northwest Pacific (NP), setting up the genetic-neural network prediction (GNNP) model which input predictors is using the methods of multidimensional scaling analysis (MDS) and Stepwise regression basing the predictors of climatology persistance to predict the typhoon intensity for 12, 24, 36, 48, 60 and 72 hour. The experimental...
In this paper, a novel neural network ensemble forecast model is developed where the stepwise regression method are chosen for forecast factors best correlated with the series of typhoon intensity, and the main information is extracted from remaining forecast factors where Locally Linear Embedding (LLE) method is used. Further the problem that network structure determination and network easily into...
Analog-to-digital converter (ADC) is a vital component for modern electronic systems, but designing an ADC usually takes much time and effort. Though several synthesis methods have been presented for analog circuits, there exists limited works focusing on ADC design automation. In this paper, we propose a systematic sizing methodology to minimize the power consumption for successive approximation...
In order to solve the calculation problem in detonation and extinction simulation of smoke munitions and provide a directly data analyse of correlative parameters which is used to describe detonation and extinction of smoke munitions, matlab/GUI is used in this paper by which we finish to evaluating those parameters because of the strong calculating capability of Matlab and draw the movement trace...
According to deformation features of pre-twisted bar, its elastic bending and torsion buckling equation is deduced. The equation indicates that the bending buckling deformations in two main bending directions are coupled with each other, and bending and twist buckling deformations are also coupled with each other because the cross-section shear center does not coincide with the shape center. However,...
With the extensive application of pre-twisted beam in engineer structure, it is very important to carry out systematic analytical research of pre-twisted beam, put forward a dependable mechanics analysis model and the calculation theories. The paper carries on mechanical property based on small deformation assumption to get the displacement general solution, and verify its accuracy using ANSYS software...
A new calculation method for the input of the neural network ensemble prediction (NNEP) model has been developed based on the data mining technology using the feature extraction method of Empirical Orthogonal Function(EOF) and the stepwise regression method, for investigating the effect of different model input with the same dimension on the prediction capacity of the NNEP model. Taking typhoon intensity...
We investigated the coherent anti-Stokes Raman scattering (CARS) process in silicon Raman laser through a two-model approach. Significant output enhancement and threshold reduction could be obtained simultaneously with a phase-matched silicon waveguide cavity. End-facet reflectivity analysis is also explored to obtain output maximization configuration.
Fuzzy Cognitive Maps (FCM) is an important graphic mean of representing causal relationship between concepts and analyzing inference patterns. In existing FCM, the value of the node which reflects the degree of activation of the concept fails to represent the multi-state nature of the concept. In order to eliminate the drawbacks from the existing FCM model, we for first time propose A Quantum Cognitive...
The problems of portfolio selection with credibility criterion are investigated. They are maximized the possibility (necessary or credibility) that the return rate of portfolio is no less than a given expected rate. The crisp equivalents are given under the condition that the return rate of security is triangular fuzzy variable. Finally illustrative examples are given.
Most algorithms developed for encryption and decryption on network information security are focused on logic analysis. However, they are complicated to implement as a system and are difficult to be applied in a widespread manner. Recently, biomimetic-based architecture of artificial neural network was proposed to improve the reliability and performance of encryption methods such as back-propagation...
To improve the predictive ability of a fuzzy neural network prediction model, the re-selection is made, by means the rough set attribute reduction, of the correlated prognostic factors that have been chosen and the re-selected factors are treated by blurring as model input, thereby establishing a new-type fuzzy neural network predictive model. Experiments are conducted for approximately two months...
QoS (Quality of Service) provisioning is an important factor that determines the success of any software service deployment. Defining what level of quality a software service should publish in the registry is a big challenge because of (i) the lack of requestor's QoS requirements when a service is firstly published, (ii) the dynamic, diversified QoS requirements of SLAs (Service Level Agreement) and...
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