A control scheme is proposed in this paper that introduces a two degree of freedom (2-DOF) controller for tracking the desired trajectory of a multi-input multi-output (MIMO) system, by implementing an original method that infuses three techniques, such as the model order reduction, optimization and the approximate model matching techniques.
The design approach is systematic, and it is based on frequency matching technique with a model matching criteria.
Next, we introduce a novel device resource matching technique based on the proposed model.
Based on this model, we further derive a multimedia device resource matching technique for ubiquitous computing environments.
A streamline-based history matching technique is employed to perform fast and efficient permeability identification and to integrate tracer data into an inverse model.
The three-dimensional position and orientation of femoral, tibial and polyethylene bearing components were determined using previously published model-based shape matching techniques [ 25, 35].
Time lapse seismic data can help to monitor pressure and fluid saturation changes in the reservoir, and using 4D data to constrain reservoir models through assisted history matching techniques has recently become a subject of great interest.
The several milestones leading to this progress are the automated interest points detection [2], the Structure from Motion (SfM) algorithms capable of reconstructing scenes from sets of unordered image collections [3, 4], and the dense image matching techniques delivering surface models of resolution equal to the pixel size on the ground [5, 6].
In order to design the feedback policy rules, we use a technique from the control theory literature known as (exact) model matching; it is a completely parameterized technique, allowing for proper symbolic algorithms to be developed.
Most of the traditional history matching techniques do not allow for continuous model updating, instead they simultaneously use all recorded data to generate an appropriate reservoir flow model.
