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For this purpose, a generalized auto-tune procedure based on Monte-Carlo and genetic algorithms is proposed in this study.
The tuning procedure accounts for the effects of filtering.
The tuning procedure is supported by a performance optimization idea.
Fourth, a simple robust tuning procedure is presented.
As a result, a tuning procedure is derived.
We define an objective root mean square criterion that is minimised in the model tuning procedure.
This tuning procedure uses offline iterative processing of motoring in-cylinder pressure data.
A PID control structure is derived, and a tuning procedure is proposed.
The paper proposes systematic tuning procedure allowing independent weights for each degree of freedom.
Finally, it presents the LQG controller tuning procedure that rationally shapes the closed-loop performance.
Adaptive tuning procedure for the coder range parameter is proposed and numerically studied.
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