Abstract
Design of an optimal controller for higher-order systems often leads to complex control algorithms. One of the possibilities of control of such processes is their approximation by a lower-order model with a time-delay (dead time). These time-delay processes can be effectively handled by model-based predictive control (MPC) method. The paper deals with design of an algorithm for adaptive predictive control of higher-order processes which are approximated by a second-order model of the process with a time-delay. The controller was tested and verified by simulation on experimental data from a laboratory model of a heat exchanger.
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Bobál, V., Kubalčík, M., Dostál, P., Matějíček, J. (2013). Adaptive Predictive Control of Time-Delay Systems. In: Zelinka, I., Rössler, O., Snášel, V., Abraham, A., Corchado, E. (eds) Nostradamus: Modern Methods of Prediction, Modeling and Analysis of Nonlinear Systems. Advances in Intelligent Systems and Computing, vol 192. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33227-2_9
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DOI: https://doi.org/10.1007/978-3-642-33227-2_9
Publisher Name: Springer, Berlin, Heidelberg
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