This paper presents an unconventional approach to design of an adaptive digital PID (proportional integral derivative) controller for multivariable plants, which includes two parts: a fast online recursive identifier to provide updated model parameters of the plant and a genetic tuner, which is based on artificial genetic algorithms, to tune on-line the parameter matrices of the controller. An example is presented to show the effectiveness of the approach.
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