基于模糊融合的鲁棒多模型自适应控制

N. Sadati, G. Dumont, H. Mahdavian
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引用次数: 10

摘要

提出了基于模糊融合的鲁棒多模型自适应控制策略(RMMAC-FF)。多模型控制器的主要思想是在任意时刻识别系统的最佳模型,并对其应用适当的控制输入。RMMAC-FF将模糊鲁棒控制器与模糊多模型自适应估计和模糊切换相结合,为复杂系统的控制提供了一种新的强有力的方法。以两车系统的RMMAC-FF作为基准问题,仿真结果验证了该理论并验证了所提控制器的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robust multiple model adaptive control using fuzzy fusion
A robust multiple model adaptive control strategy using fuzzy fusion (RMMAC-FF) is presented in this paper. The main idea in multi-model controllers is to identify the best model of the system at any instant of time and apply the appropriate control input to it. RMMAC-FF, integrates a fuzzy robust controller, with the fuzzy multiple model adaptive estimation and a fuzzy switching to come up with a new strong methodology to control complex systems. Simulation results of the RMMAC-FF on a two-cart system, used as a benchmark problem, verify the theory and confirm the effectiveness of the proposed controller.
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