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The system dynamics models are obtained based on system identification approaches, using the established experimental system.
Standard identification approaches include bacterial culturing method, which takes several days.
The APOD scheme is designed based on the generalized predictive control (GPC) and model identification approaches.
The information obtained from the modelling and identification approaches are used for USM's Underwater Glider Prototype controller design.
By using ANNs, some significant problems of conventional damage identification approaches can be overcome and damage detection accuracy can be improved.
In most of the available input output covariance-driven subspace identification approaches the knowledge of the input is exploited for eigenstructure identification only.
The use of system identification approaches for damage detection has been expanded in recent years owing to the advancements in signal analysis and information processing techniques.
Among various existing impact identification approaches, neural network based force identification method has received great attention because one does not need to have a system model.
Different from conventional modal identification approaches working in the frequency domain, it opens up a new path to find the system poles by utilizing mode shape information.
In this work we consider two novel identification approaches that can be used for individualizing linear glucose insulin models to a specific patient.
Note that these strategies, which are both based on identification approaches, are suggested for enhancing the application of the suggested fault tolerant control methodologies.
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