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- W52365562 abstract "Predictive control algorithms determine a series of the control signal minimizing the deviation between the reference and the output signal in a given future horizon. The output of the plant to be controlled is predicted on the basis of a model, which can be linear or nonlinear, parametric or nonparametric. In adaptive control these process parameters are identified and the control signal is calculated taking the identified values into consideration. In the paper simulation results present some properties of adaptive predictive control. Robustness of the control algorithm is illustrated through control of a simple Wiener model . The relationship between the plant order and the prediction horizon is also mentioned. The promising results indicate that further systematic analysis is worthwhile." @default.
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- W52365562 date "1995-06-01" @default.
- W52365562 modified "2023-10-18" @default.
- W52365562 title "Adaptive Predictive Control of Nonlinear Dynamic Processes" @default.
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- W52365562 doi "https://doi.org/10.1016/s1474-6670(17)45383-3" @default.
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