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Contribution to prior tuning of LQG selftuners. (English) Zbl 0757.93081
Summary: A prior prediction of control quality achievable by the optimally tuned LQG selftuner of a fixed structure is proposed. The prediction helps to judge in advance in advance the usefulness of the intended selftuner implementation. The proposed algorithmization makes also possible the off-line tuning of particular penalties in accordance with user’s wishes. In this way, the used Bayesian methodology (together with existing solution of structure determination problem) provides algorithmic tools for systematic pre-tuning of majority of user’s knobs.

MSC:
93E20 Optimal stochastic control
Keywords:
LQG selftuner
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References:
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