Abstract
In many practical situations in process industry, the measurements of process quality variables, such as product concentrations, are available at different sampling rates and than other measured variables and also at irregular sampling intervals. Thus, from the process control viewpoint, multi-rate systems in which measurements are available at slow and/or differing rates and in which the manipulations are updated at relatively fast rate are of particular interest.
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Srinivasarao, M., Patwardhan, S.C., Gudi, R.D. (2007). Nonlinear Predictive Control of Irregularly Sampled Data Systems Using Identified Observers. In: Findeisen, R., Allgöwer, F., Biegler, L.T. (eds) Assessment and Future Directions of Nonlinear Model Predictive Control. Lecture Notes in Control and Information Sciences, vol 358. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72699-9_11
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DOI: https://doi.org/10.1007/978-3-540-72699-9_11
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