Matches in UGent Biblio for { ?s ?p Modeling of hydraulic clutch transmissions are not straightforward because of their hard nonlinearities. Therefore a model-free optimizer is used to tune the input parameters for desired operation, thereby generating optimal reference trajectory. However these machines suffer from time varying dynamics, hence a feedback predictive control is used to track this reference against identified linear sub-models to ensure robust performance. This two step strategy is called Learning Predictive Control.. }
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- aggregation abstract "Modeling of hydraulic clutch transmissions are not straightforward because of their hard nonlinearities. Therefore a model-free optimizer is used to tune the input parameters for desired operation, thereby generating optimal reference trajectory. However these machines suffer from time varying dynamics, hence a feedback predictive control is used to track this reference against identified linear sub-models to ensure robust performance. This two step strategy is called Learning Predictive Control.".