A Data-Driven Hybrid ARX and Markov Chain Modeling Approach to Process Identification With Time-Varying Time Delays.

IEEE Transactions on Industrial Electronics(2017)

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摘要
In this paper, we consider an important practical industrial process identification problem where the time delay can change at every sampling instant. We model the time-varying discrete time-delay mechanism by a Markov chain model and estimate the Markov chain parameters along with the time-delay sequence simultaneously. Besides time-varying delay, processes with both time-invariant and time-varia...
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关键词
Delay effects,Delays,Markov processes,Hidden Markov models,Switches,Parameter estimation,Probability
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