CAJ | 학술논문

针对交互式多模型方法存在模型覆盖面不足和子模型间恶性竞争的问题，设计了一种基于遗传算法和模糊推理的智能优化模糊交互式多模型方法，该方法通过对模型集的自主寻优，能够实现任意时刻在最优模型集下的跟踪，通过建模仿真，在与传统的交互式多模型的比较中发现，使用该模型后目标跟踪误差显著减小，该算法具有较高精度及稳定性。
침대교호식다모형방법존재모형복개면불족화자모형간악성경쟁적문제，설계료일충기우유전산법화모호추리적지능우화모호교호식다모형방법，해방법통과대모형집적자주심우，능구실현임의시각재최우모형집하적근종，통과건모방진，재여전통적교호식다모형적비교중발현，사용해모형후목표근종오차현저감소，해산법구유교고정도급은정성。
cut-throat competition within submodels in interacting multiple model (IMM), a intelligent fuzzy IMM algorithm bas genetic algorithm and fuzzy reasoning. This method realizes tracing of optimized model set at each moment by self-determination optimization of model set. ompar with traditional IMM, the tracking error a lot, and the algorithm to be precise.