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《Journal of Xi'an Jiaotong University》 2005-01
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Novel Fast Adaptive Modeling Algorithm Based on Particle Dynamics

Wang Teng~1,Yan Guirong~1,Zhang Xinwu~2 (1.School of Architectural Engineering and Mechanics,  Xi′an Jiaotong University, Xi′an  710049, China; 2.China Academy of Engineering Physics, Mianyang 621900, China)  
A new adaptive modeling algorithm, PDMDF (proportionally damped multidegree of freedom system), is proposed to build the model of a plant. It is derived by assimilating the process of iteration for the optimal weight coefficients to a particle movement on the hypersurface, the mean square error surface geometry in the space of filter parameters located in the gravitational field. The PDMDF algorithm is developed from the particle differential equation by introducing a proportional damping force and making all damping factors approach the critical damping. The nonlinear term in the particle differential equation is considered as a variable step size in the PDMDF algorithm. The simulation results show a faster convergence rate of the algorithm than that of least mean square algorithm at the same level of misadjustment. This new algorithm could be expected to apply to adaptive inverse control. .
【Fund】: 国家自然科学基金委员会与中国工程物理研究院联合基金资助项目(10276032).
【CateGory Index】: O302
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