Advanced control system using a hybrid controller (a simple designed Takagi Sugeno fuzzy logic controller (FLC)) integrated with the adaptive neuro-fuzzy inference system (ANFIS) controller was implemented to control the reactor temperature and compared with the FLC and conventional PID controller.
Finally, the designed robust controllers were implemented to control the air and hydrogen flow rates.
Finally, the designed controller was implemented to control the air and hydrogen flow rates.
Moreover, the PC-based controller is implemented to control the position of the motor-mechanism coupling system.
An approach based on a fuzzy logic controller was implemented to control and regulate the atmospheric plasma spray processing parameters (arc current intensity, total plasma gas flow, hydrogen content) to the in-flight particle characteristics (average surface temperature and velocity).
A fuzzy controller was designed and implemented to control process performance through the extracted froth features at the desired level by manipulating the selected process variables.
A sham-controlled design is being implemented to control for non-specific effects of therapist patient interaction.
What's more, based on the developed FVM model, a fuzzy logic controller FLC is designed and implemented to control the position of the levitated item.
The model-predictive controller of unified approach was then implemented to control the reactor temperature on the basis of this process model.
"I strongly agree with the inspector general's findings that at the end of the day, much more needs to be done to ensure that the enterprises and the F.H.F.A. are accountable to the taxpayer and that a strategic plan is implemented to control costs".
Finally, a smoothing filter is implemented to control the solution.
