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In this paper, we consider an optimal estimation problem in the sense of least mean square error for linear discrete-time systems with multiple state delays in the measurement output. Since computation complexity is high for augmentation approach, a lot of researches have been dedicated to finding alternative ways for the optimal estimation design. In existing studies, two dimensional Riccati iteration...
The secondary cooling water has a considerable influence on cracks and other internal defects of the billets. This research aims to develop an optimization algorithm used for solving the optimal secondary cooling water flowrate under different casting speeds. An multi-objective optimization algorithm based on differential evolution(DE) algorithm was developed for Pareto-optimal solutions for solving...
This work presents a model of a transducer array suitable for particle transportation. The transducer array is excited by sine function in voltage. The distributions of horizontal acoustic radiation forces are simulated using ANSYS and MATLAB-base program. The underlying motion equation is described in this paper. According to this equation, the motion trajectory of a levitated particle is calculated...
Model Driven Development is becoming the trend of embedded software development, UML and Simulink are very important modeling languages. However, UML is a semi-formal modeling language, lacking of accurate semantics, which can't validate correctness of embedded software development. To solve this problem, this paper presents a model transformation method between UML design model and Simulink simulation...
In this paper, we focus on the temperature regulation of rooms in buildings. By using the dynamic model of the thermal process, weather condition, occupancy and so on, a Stochastic Model Predictive Control (SMPC) problem is formulated to keep the temperature of rooms within a comfortable range with a predefined probability while consuming less energy. The temperature regulation problem in this paper...
The main goal of this paper is to develop a multi-class traffic flow and emission model that is suited for on-line model-based control. Multi-class traffic flow and emission models take into account the heterogeneous nature of traffic networks. In comparison with single-class models, these models are more accurate. Using more accurate model results in better description of the traffic network. However,...
According to the fourth assessment report of IPCC (Intergovernmental Panel on Climate Change), global warming owns more than 90% to human activities. And quantification of human-induced CO2 emission at fine space and time resolution has a critical need in carbon cycle and climate change research. Carbon emission from urban traffic caused by burning fossil fuels is a key source in the process of urbanization...
Conversion of GPS heights into normal heights has become a hotspot in survey engineering, the Quasi-geoid surface can be very complicated especially in a large survey area or in complicated terrain, just adopting several GPS/leveling points to construct quadric surface model to fit the Quasi-geoid surface has some limitations, precision could not be guaranteed. So, such demand us that we should partition...
Three-dimensional (3D) reconstruction considering of image sequences is an unresolved and active research topic on the cross-section of computer vision and digital photogrammetry. In this paper, we focus on 3D object shape reconstruction from uncalibrated images and put forward a rapid algorithm to recover the object height. The recovering 3D shape comprises two steps, for the one hand, calculate...
Interpolation is the core problem of Digital Elevation Model ??DEM??. A concept of Voronoi K order adjacency is introduced in this paper, and a DEM interpolation method based on this concept is described. This method selects Voronoi k order adjacency points for reference points and determines weighting functions with both Euclid distance and Voronoi distance. The experiments have shown that this method...
GPS height conversion into normal heights has become a hotspot in survey engineering. Many Researches and applications have proved that the Quasi-geoid surface can be very complicated especially in a large survey area or in complicated terrain, just adopting several GPS/leveling points to construct quadric surface model to fit the Quasi-geoid surface has some limitations, precision could not be guaranteed...
Polynomial fitting method is widely used in GPS height conversion into normal heights in survey engineering and whcih has become a hotspot. Different models used in different area of interpolation have different precisions, therefore, it is very important to optimize model before GPS height conversion in order to obtain high precision. Lots of engineering practice has proven that The conicoid model...
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