Guidelines for Autotune Procedure
Intelligent control is becoming a common practice in many industrial applications. Åström and McAvoy (1992) and Åström et al. (1992) summarize the progress in the field. The reason for such a need is fairly obvious: industrial processes are nonlinear, multivariable, measurements corrupted with noises and facing frequent load changes. That is, we are dealing with not so normal operating conditions in daily practice. In terms of autotuning, this implies we have to devise different experiments to handle various circumstances.
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