At first, a classic state vector feedback controller with integration of the control error is implemented.
After reaching on switching surface, systems are controlled by PI controller based on new area control error.
It is shown that the controller with notch filters reduces the control error considerably and enables faster scan speed at weaker tip-sample interaction forces.
To design the controller, a quadratic cost function including the control error vector as well as the input vector and its changes is introduced.
A one-row dimensional matrix results from the assumption of the usual dimensionless interpretation of both control error and actuating signals of the controller.
The NN controller is trained so that an estimation of the control error several steps ahead is minimized, which are given by a properly designed NN called predictor.
These control strategies employ sliding mode control, discrete control, error incorporation, and adaptive control.
The attitude control error is simply the difference between the ideal (commanded) dither pattern and the actual measured attitude.
The control strategy, for the dynamic power system model, is based on area control error.
Conditions for an exponential decrease of the open-loop control error are derived.
In-vessel coils are used for plasma instability control, error field correct, RWM and ELMs suppress.
