Adaptive sampled-data tracking for input constrained exothermic chemical reaction models

Ilchmann, Achim GND; Townley, Stuart; Thuto, Mosalagae

We consider digital input-constrained adaptive output feedback control of a class of nonlinear systems which arise as models for controlled exothermic chemical reactors.Our objective is set-point control of the temperature of the reaction, with prespecified asymptotic tracking accuracy set by the designer. Our approach is based on. Our objective is set-point control of the temperature of the reaction, with prespecified asymptotic tracking accuracy set by the designer. Our approach is based on lamda-tracking controllers, but we introduce a piecewise constant sampled-data output feedback strategy with adapted sampling period. The approach does not require any knowledge of the systems parameters, does not invoke an internal model, is simple in its design, copes with noise corrupted output measurements, and requires only a feasibility assumption in terms of the reference temperature and the input constraints.

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Ilchmann, Achim / Townley, Stuart / Thuto, Mosalagae: Adaptive sampled-data tracking for input constrained exothermic chemical reaction models. 2004.

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