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• W1678749104 abstract "Presents a method to learn control strategy by using a hidden Markov model (HMM), i.e., modeling a feedback controller in HMM structure. HMM is a powerful parametric model for non-stationary pattern recognition and is feasible for characterisation of a doubly stochastic process involving observable actions and a hidden decision making process. The control strategy is encoded by HMMs through a training process. The trained model is then employed to control the system. The proposed method has been investigated by simulations of a linear system and an inverted pendulum system. The HMM-based controller provides a novel way to learn control strategy and to model the human decision making process. >" @default.
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• W1678749104 date "2002-12-17" @default.
• W1678749104 modified "2023-09-22" @default.
• W1678749104 title "Hidden Markov model-based learning controller" @default.
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• W1678749104 doi "https://doi.org/10.1109/isic.1994.367844" @default.
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