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Weighted multirate \(q\)-Markov cover identification using PRBS – an application to engine systems. (English) Zbl 0996.93020

This paper extends the \(q\)-Markov cover using PRBS (Pseudo-Random Binary Signal) to the weighted multirate case. Then the multirate PRBS \(q\)-Markov cover is applied to identify a diesel engine model from the fuel command input to the engine speed output. This extension allows for the construction of a discrete-time space model.
The identified model has an order of two and approximates the pure fuel system time delay using a first-order transfer function with a non-minimum phase operator. The identified engine model was used for engine governor design.

MSC:

93B30 System identification
93C95 Application models in control theory
93A30 Mathematical modelling of systems (MSC2010)
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