Abstract
In process identification, is common practice to seek the model that minimizes the variance of the data from the model. If the process parameters actually vary over a range, we show that choosing a model in the middle of the range is not generally best from a control perspective We use Mp-synthesis [1] to obtain models for optimal control system performance for three uncertain processes: 1) a second order process with uncertainty in time constant and damping ratio, 2) an overdamped second order plus dead time process and, 3) a non collocated spring mass system.
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References
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© 1995 Springer Science+Business Media Dordrecht
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Laiseca, M., Brosilow, C. (1995). Mp Tuning and Synthesis. In: Berber, R. (eds) Methods of Model Based Process Control. NATO ASI Series, vol 293. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-0135-6_7
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DOI: https://doi.org/10.1007/978-94-011-0135-6_7
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-4061-7
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