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This paper builds the fault diagnosis model and optimizes the input interface of the model by normalizing the initial data of the performance parameter for the automobile engine, carrying on information fusion and adopting the Adaptive Neural Fuzzy Interference System (ANFIS). The recognition rate of the model reaches 94.38% under the test of field test data. Corresponding BP neural network modeling...
The fundamental of neural network and its application are introduced firstly. Then the main factors which affect the runoff and the sediment transport volume in the problems of the water and sediment fluxes in the Yellow River Mouth during the flood and non-flood period are analyzed. Furthermore, the BP model is set up by using the program in the toolbox of the neural network under the environment...
In view of Chaos is such a complex nonlinear systems, we analyze the parameters of initial sensitivity and unpredictability, and use a universal adaptive controller based on adaptive control theory, combined with the stability of Lyaponov theory, making the system to eliminate chaos and asymptotic stability to the desired smooth orbit. Matlab simulation results have verified the efficiency of this...
Based on the study of MATLAB/RTW function,a hardware-in the loop experiment simulation system is designed. In this platform, data transmission between practical process and MATLAB workshop was carried out by an I/O card supported by MATLAB, so that the practical system was imported to the simulation loop, the integration of system modelling, analysis, digital simulation and goal realization is realized...
Based on the study of MATLAB/RTW function,a hardware-in the loop experiment simulation system is designed. In this platform, data transmission between practical process and MATLAB workshop was carried out by an I/O card supported by MATLAB, so that the practical system was imported to the simulation loop, the integration of system modelling, analysis, digital simulation and goal realization is realized...
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