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Multi-Processor Systems-on-Chip (MPSoCs) are penetrating the electronics market as a powerful, yet commercially viable, solution to answer the strong and steadily growing demand for scalable and high performance systems, at limited design complexity. However, it is critical to develop dedicated system-level design methodologies for multi-core architectures that seamlessly address their thermal modeling,...
This paper chose five branches of the Agricultural Bank of China as analysis samples, and they are Beijing Branch, Shanghai Branch, Tianjing Branch, Chongqing Branch and Shenzhen Branch, respectively. Firstly, describe the relevance between compensation and incentive of the executive by statistics of data. Secondly, conduct an empirical study to the executive compensation incentive using the mechanism...
Global approximation for a complex function or model with large domain can be applied in many fields such as sensibility analysis, parameter or control optimization and component simulation in a complex top-level system. The approximate substitute for the original model is also called response surface (RS). After analyzing the drawbacks of the existing response surface methods, propose an adaptive...
Electric power grid operation being an ever challenging scientific field is faced with a high variety of optimization problems. Since the future vision of so called smart grids causes higher complexity and new requirements to these problems, sophisticated investigation in suitable optimization algorithms is essential. Here, metaheuristic optimization strategies are proven to be suitable for high dimensional...
This paper presents a methodology for the creation of reduced thermal models of electronic systems based on the knowledge of the system dynamic temperature response. The registration of thermal responses using equidistant sampling on a logarithmic time scale allows the proper identification of all the time constants in the responses. Knowing the entire time constant spectrum, it is possible to generate...
Efficient flood management requires accurate real time forecasts to allow early warnings, real time control of hydraulics structures or other actions. Commercially available computing tools typically use, for flow or level forecasting, hydraulic models derived from the numerical approximation of Saint-Venant equations. These tools need powerful computers, accurate knowledge of the riverbed topography...
Sludge recycling system is an important part of wastewater treatment plants. Because of the lack of control model and ensure water quality, the sludge recycle flow rate is controlled by high percentage of the influent to the wastewater treatment plants generally, which result in high energy consumption and decreasing of handling capacity. At present, the artificial intelligence modeling technique...
This paper deals with the identification of Wiener systems with hard nonlinearities. Using the switching function, a special form of nonlinearity representation is used in the Wiener system description. Two recursive identification algorithms are proposed, one is the recursive stochastic gradient identification algorithm and the other is the adaptive forgetting through multiple models identification...
This paper briefly introduced the research on synthesis load modeling with online statistical measurement-based method. Statistical measurement-based method provides a complementary advantage for synthesis method and overall statistics measurement method by their combination and improvement on the basis of history load data. It offers a better idea to put load modeling into practice, which enables...
This paper will present one of the first implementations in VHDL-AMS of a compact truly distributed modeling approach applied to the Power PIN diode. This approach is based on the unidimensional solution of the ambipolar diffusion equation describing the charges behavior in the low doped zone within the device. The method allows to transform this equation in space and time into a finite set of differential...
The analysis literature about the series resonant converter for Induction heating based on quasi-sliding mode variable structure control. The mathematic model of series resonant converter for Induction heating are established, including the discrete-time integrator switch surface and the control law of sliding mode which is design in the paper not only hold the high robustness, but also highly reduce...
JSD-I/A quartz flexural gravitational sensor (JQFGS) is an important component of the underwater navigation gravimeter, and the method of denoising the output signal of JQFGS by time series analysis and adaptive kalman filtering is researched. Firstly, the time-series models of JQFGS's signal are analyzed, and AR(3), AR(4) and AR(5) models are used to approximate the output system equation of JQFGS...
The electric arc furnace electrode regulator system of adaptive control problem. First proposed the mine thermal electric arc furnace electrode regulator system model, the adaptive algorithm derived sub-model obtained electric arc furnace electrode regulator system of piecewise linear mathematical model. On this basis, were electric arc furnace electrode regulator adaptive control system derived arc...
Physical and chemical processes in the Urea-SCR system are simulated by using computational fluid dynamics CFD and chemical kinetics methods. The best location of nozzle and the suitable number of nozzle holes have been held through the analysis of the simulation results, which provides a reference about the optimal design for the catalytic converters.
Motion planning for mobile robot is one of the most fundamental and complex problems in robotics. Based on introduction of the basic principle of heat conduction equation and some traditional solutions of motion planning, the model for motion planning is presented. The adaptive mesh is used to solve the equation model for motion planning. The calculation results are given and compared with other motion...
This paper introduces the historical development and application prospect of model-free control theory. Model-free control is a non-classical method, which has replaced the traditional design of PID and controller pattern. Through unity of modeling and feedback control, the controller can be put into operation directly, but the controller design, process identification and quantity knowledge are operated...
The imitation bat detection system, which is according to principles of bat binaural echolocation, is made up of a imitation bat mouth, two imitation bat ears and a central controller. One of the key problems in the central controller, which make decisions with adaptive environment, is how to establish effective localization methods. To realize the rapid and effective localization, the information...
This paper taking Mudanjiang in Heilongjiang Province as the study region, the remote sensing data and topographic map data in forth years as a basis for data, the vulnerability model was evaluated based on the sensitivity, exposure and adaption ability, relevant parameters of model was acquired by GIS and RS technology and mathematic model, and the vulnerability of ecological environment was in a...
Fatigue crack propagation life has been estimated based on established empirical equations. In the present work, fatigue crack rates of ASTM A533 alloy under the different load histories was predicted by adaptive neuro fuzzy approach (ANFIS). A novel soft-computing application, suitable for non-linear, noisy and complex problems like fatigue. The features and usefulness of our method are to initial...
Estimation of disease incidence is an important part of predicting and preventing the infectious disease in epidemic dynamics model. This thesis researched the application of a nonlinear observer in the SEIR epidemic dynamics model with latent period, made use of nonlinear observer to estimate epidemic incidence and infection rate coefficient and then proved the theoretical results by numerical simulations.
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