论文信息 - Data Driven Tuning of State Space Control loops with unknown state information and model uncertainty.

Data Driven Tuning of State Space Control loops with unknown state information and model uncertainty.

Abstract As an alternative to model reestimation and subsequent control design for state space systems in case unsatisfactory loop performance, direct tuning is investigated. Direct tuning is shown able to optimize loop performance when the control design and state observer are based on an uncertain model estimate.

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