A Data-Driven Hybrid ARX and Markov Chain Modeling Approach to Process Identification With Time-Varying Time Delays.
IEEE Transactions on Industrial Electronics(2017)
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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