Abstract
The continuous industrial plants dynamically working inside a large operating range involve non-linear phenomena that mostly cannot be suitably approached by linear models. In order to describe their behaviour, it is then necessary to use non linear models and/or variable parameter models. The control of such systems can be managed from adaptive methods or multi-model techniques but it may be preferable to try to find a global non-linear model correctly describing the system behaviour in all its operating conditions and a unique control law. Moreover, the goal being the control by means of one or several digital processors, it is necessary to build a discrete non-linear and/or time-varying parameter model.
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© 1986 D. Reidel Publishing Company
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Dadugineto, Darmet, C., Dufour, J., Gilles, G., Neyran, B., Thomasset, D. (1986). Identification of Different Discrete Models of Continuous Non-Linear Systems. Application to Two Industrial Pilot Plants.. In: Fliess, M., Hazewinkel, M. (eds) Algebraic and Geometric Methods in Nonlinear Control Theory. Mathematics and Its Applications, vol 29. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-4706-1_30
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DOI: https://doi.org/10.1007/978-94-009-4706-1_30
Publisher Name: Springer, Dordrecht
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