
doi: 10.1002/acs.3089
SummaryThis article considers the identification problem of the jump Markov autoregressive exogenous (JMARX) systems with unknown invariant time‐delay under the framework of recursive expectation‐maximization (REM) algorithm. In this article, a recursive Q‐function is formulated for the JMARX systems, based on which the recursive sufficient statistics are obtained. Then, the parameter vectors, variance, transition probability matrix, and time‐delay are recursively estimated. A numerical example and a simulated continuous fermentation reactor process are employed to illustrate the effectiveness of the proposed algorithm.
parameter identification, Identification in stochastic control theory, recursive EM algorithm, jump Markov system, Delay control/observation systems, unknown time-delay
parameter identification, Identification in stochastic control theory, recursive EM algorithm, jump Markov system, Delay control/observation systems, unknown time-delay
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