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Lincoln Laboratory is working with the FAA and NASA to enhance air safety, reduce controller workload, and increase airport capacity by developing planning aids for air traffic controllers.
Lincoln Laboratory is helping the FAA and NASA enhance air safety, reduce controller workload, and increase airport capacity by developing planning aids for air traffic controllers.
Numerical examples show that the resulting blocking structures are able to optimally reduce controller complexity and improve region of attraction volume.
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The coefficient matrix of the error dynamics between each pair of synchronized systems is chosen such that the number of active control functions reduces from two to one, thereby, significantly reducing controller complexity in the design.
The restrictions on the zero dynamics are relaxed by using the Popov multiplier, which also reduces controller complexity.
Utilizing model-based controller design in automotive and powertrain industry is recently attracting more attention due to its benefits in reducing controller development time and cost.
Considering tradeoff between the control specifications and order of the control system, we can reduce μ controller to 11.
In order to reduce the controller gain and improve performance we propose a new approach based on partitioning the set of uncertain parameters into smaller subsets.
It represents an increase of variations, control efforts, and lower performance of reduced order controller compared to full order controller.
This increase shows the poor performance of reduced order controller in rejecting disturbance and also to weaken the noise effect compared to full order controller.
Building vibrations can be reduced using controller.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com