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How to fuse/combine state estimates that are obtained based on different models (e.g., a CV model, a CA model, and a CT model)? This paper provides a theoretical solution to such problems and beyond. Conventional multiple-model estimation methods use models defined in a common state space. In this paper, we discuss the advantage of using heterogeneous state space for different models in the multiple-model...
Software reliability growth modeling plays an important role in software reliability evaluation. To incorporate more information and provide more accurate analysis, modeling software fault detection and correction processes has attracted widespread research attention recently. However, the assumption of the stochastic fault correction time delay brings more difficulties in modeling and estimating...
Design of complex system often involves a multitude of decision variables and parameters. In order to relieve the computational burden, manage the complexity in design processes, and achieve concurrent analysis and design, a complex system can oftentimes be decomposed into several subsystems with hierarchical relation according to their functional attributes, physical structures, or scale magnitudes...
Key part failure of the vehicle engine often leads to its failure, while the cylinder liner failure is the main reason. In this paper, the basic theory of vehicle engine tribology was applied to analysis wear reasons and wear rules of cylinder liner. Meanwhile, the application of the ideal gas equation explored the relationship between the state of the cylinder liner wear and air leakage, which determined...
The power law distribution of social tag frequency is one of the most important statistic characteristics in social tagging system. Researchers have proposed several models to predict this distribution, but these models depend on specific system. What's more, data fitting methods were failed to describe the raw data precisely compared with a mathematical model. Random Group Formation (RGF) model is...
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