The increased traffic flow on both existing highways and city roads leads to the appearance of stop-and-go waves which have many disadvantages, e.g., increased risk of accidents, higher fuel consumption, increased pol...
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The increased traffic flow on both existing highways and city roads leads to the appearance of stop-and-go waves which have many disadvantages, e.g., increased risk of accidents, higher fuel consumption, increased pollution, increased wear of vehicle mechanical parts, driving stress and passenger discomfort. The platooning of vehicles could be the solution to this problem by enforcing them to follow each other and to maintain a safe distance between them. The advantages brought by this solution depend on ensuring the string stability of the vehicle platoon. In this paper the leader-follower system is employed to illustrate the stop-and-go waves mitigation. Several controllers (P, PI) were designed based on the conditions that have to be met in order to ensure the string stability of the vehicle platoon and comparisons were made with a controller based on the driver behavior.
In this study we propose a series of test parameters for random number generators in order to analyze the uniformity and the degree of correlation of generated numbers. The present analysis was applied to a series of ...
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In this study we propose a series of test parameters for random number generators in order to analyze the uniformity and the degree of correlation of generated numbers. The present analysis was applied to a series of standard generators used in libraries of the usual programming languages such as: C/C++, Java and Fortran. Besides using some standard tests, new parameters that provide a more adequate description of uniformity and correlation are proposed. The analysis attempts to explain the different results obtained in simulations performed with different types of generators and to outline the different degree of uniformity and correlation of the numbers produced by these generators. The uniformity and correlation properties were analyzed both independently and together through integrants parameters. The analysis revealed that high sizes of storage and representation or high periodicity of the random number generators does not offer at the same time both high uniformity and less correlation of random numbers packets with different sizes.
Task scheduling algorithms have a huge impact by handling and executing users' requests in a data-center that serves a Cloud system. A problem very close to the industry is the capability to estimate costs, especi...
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This study attempts to establish methods for characterizing the complexity of ordinal data through the information and entropy parameters. In this respect, there were examined the methods for measuring the complexity ...
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This study attempts to establish methods for characterizing the complexity of ordinal data through the information and entropy parameters. In this respect, there were examined the methods for measuring the complexity of data with similar statistical characteristics and the parameters that can make the difference between them were established. For this purpose, the analysis was applied to three data sets with identical overall statistical characteristics but with different order of elements, respectively incremental, random and oscillatory incremental data. The analysis highlighted that it is necessary to include the information and entropy parameters for different variation orders of data elements. In this regard new parameters have been proposed, based on information and entropy expressions that describe, in an adequate way, the complexity of ordinal data.
To engineer the factory of the future the paper argues for a reference model that is not necessary restricted to the control component, but integrates the physical and human components as well. This is due to the real...
To engineer the factory of the future the paper argues for a reference model that is not necessary restricted to the control component, but integrates the physical and human components as well. This is due to the real need to accommodate the latest achievements in factory automation where the human is not merely playing a simple and clear role inside the control-loop, but is becoming a composite factor in a highly automated system (“man in the mesh”). The concept is demonstrated by instantiating the anthropocentric cyber-physical reference architecture for smart factories (ACPA4SF) in a concrete case study that needs to accommodate the ongoing researches from the SmartFactory KL facility (e.g. augmented reality, mobile interaction technology, virtual training of human operators).
This paper introduces a systematic approach to synthesize linear parameter-varying (LPV) representations of nonlinear (NL) systems which are originally defined by control affine state-space representations. The conver...
This paper introduces a systematic approach to synthesize linear parameter-varying (LPV) representations of nonlinear (NL) systems which are originally defined by control affine state-space representations. The conversion approach results in LPV state-space representations in the observable canonical form. Based on the relative degree concept of NL systems, the states of a given NL representation are transformed to new coordinates that provide its normal form. In the SISO case, all nonlinearities of the original system are embedded in one NL function which is factorized to construct the LPV form. An algorithms is proposed for this purpose. The resulting transformation yields an LPV model where the scheduling parameter depends on the derivatives of the inputs and outputs of the system. In addition, if the states of the NL model can be measured or estimated, then the procedure can be modified to provide LPV models scheduled by these states. Examples are included for illustration.
This work presents an image vectorization application aimed to exploit features found in most of today's modern architectures. Design decisions supported by performance results are presented along with use cases f...
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In this paper, non-linear systems (hydraulic tank configurations) were analyzed using a technique of fault detection and isolation based on a Takagi-Sugeno fuzzy model. The system state vector was obtained by means of...
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In this paper, non-linear systems (hydraulic tank configurations) were analyzed using a technique of fault detection and isolation based on a Takagi-Sugeno fuzzy model. The system state vector was obtained by means of sliding mode observers, and then the signal-residual is generated by comparing the estimated and measured outputs. The isolation problem was solved using Neural Networks. From the resulting active or inactive signal-residuals, the faulted elements of the system are easily identified. The method proposed represents a hybrid fault diagnosis technique.
Road traffic is considered as a complex system organized in a decentralized structure composed of three levels. At the highest level of complexity we have a traffic region, considered as a part of a city's road in...
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The paper will compare the performances which can be obtained using a direct adaptive regulation scheme based on the Youla-Kučera (YK) parametrization of the controller and using an adaptive finite impulse response (F...
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