There are a lot of nonlinear systems in the process control systems. However, it is difficult to deal with the nonlinear property by linear controller. Then, various methods have been studied in this field.
On the other hand, a scheme called boosting is proposed in the machine learning field. This scheme can obtain the highly accurate condition by combining some less-accurate conditions. The boosting can obtain better results compared with the neural network under the less number of learning data.
In this paper, we propose a design method of nonlinear PID control systems using boosting algorithm. The original boosting is only possible to deal with two-valued variable, so we extend the algorithm for function approximation using it. Finally, the simulation examjples are demonstrated in order to investigate the effectiveness of proposed scheme.
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