Switching reconfigurable control based on hidden Markov models

J. M. Lemos, L. Rato, J. Marques
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引用次数: 15

Abstract

A supervisor algorithm for application in switching reconfigurable control of time varying plants is presented. The possible outcomes of the parameters configuring plant dynamics are described by a hidden Markov model whose state, assumed unavailable for direct observation, is estimated from plant i/o data using a nonlinear filtering algorithm. The use of a shared state representation allows a natural fitting of this supervisor to Predictive Reconfigurable Control.
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基于隐马尔可夫模型的开关可重构控制
提出了一种适用于时变对象切换可重构控制的监督算法。配置植物动力学参数的可能结果由隐马尔可夫模型描述,该模型的状态假定不可直接观测,使用非线性滤波算法从植物i/o数据估计。共享状态表示的使用允许将该监督器自然地拟合到预测性可重构控制中。
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