There are two main sub-systems, i.e., ground and local controllers at an airport for air traffic management which are very less focussed by the scientific community.
The planes were too close because of an error by a civilian air traffic controller at a low-altitude control center in Virginia, according to a government official involved in following up the incident.
In this paper, unlike the theory of switching control, a similar structure which focus on choosing the best controller at a given moment is proposed.
A nonlinear core model and a flexibility controller at a random power level compose a core load following control subsystem.
An internet-based control architecture is developed to carry out tests with the EMPC controller at a remote location.
On the upper layer, the economic optimal control problem is solved rigorously by a slow hybrid economic model predictive controller at a low sampling rate.
A design procedure of these systems has a hierarchical, hybrid structure with continuous controller at a lower level and higher discrete level which generates the control input as a result of some optimization problem.
On one assignment, I served as a controller at a paper plant in Greenville, N.C, to understand how seemingly small decisions have an impact on capital, costs and operations at that level.
