The phrase "ability of the controller" is correct and usable in written English.
It can be used when discussing the capabilities or functions of a controller in various contexts, such as technology, management, or systems.
Example: "The ability of the controller to manage multiple tasks simultaneously is crucial for the success of the project."
Alternatives: "capability of the controller" or "competence of the controller".
Five different control structures, based on the feedback and feedforward classic structures and on combinations of them, are evaluated both concerning to the ability of the controller to maintain (regulatory control) or to change the controlled variable to the new set-point (servo control) in a reasonable action time.
Simulation results verify the ability of the controller to effectively remove the regulatory interactions imposed by translational resource limitations.
Simulation and experimental results verify the ability of the controller to attenuate the vibration resulting from the dominant mode.
The effects of differential solar drag on the formation and the ability of the controller to withstand this disturbance is also studied.
The ability of the controller in handling system delay along with its simplicity and low computational load makes PFC a privileged AQM method in the high speed networks.
Additional experiments were also performed to verify the ability of the controller of tracking reference changes and rejecting thermal load disturbances as high as 15%.
The ability of the controllers to stabilize steady-state and periodic solutions is evaluated via simulation.
As a result, two measures are produced: (1) the ν-gap metric, which quantifies the strength of recycling effects, and (2) the maximum stability margin of "unit" controller, which represents the ability of the "unit" controller to compensate for such effects.
Furthermore, the disturbance rejection ability of the proposed controller is analyzed.
The quality of a model is then assessed by the ability of the corresponding controller, informed by that model, to drive the experimental system.
The ability of the resulting controller to closely track the trajectory obtained from the motion planner, despite various disturbances and uncertainties, is demonstrated through simulation.
