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The frequency response of the current controller is indicated by F FM f) and its Laplace transform is denoted by F FM s).
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Therefore, this controller is very indicated for aircraft applications.
Experimental results indicate that the fuzzy controller is capable of controlling the system in both modes.
The experimental results indicate the proposed controller is highly promising for this application field.
Also, results indicate that proposed controller is reduced fuel consumption in real and modal driving cycles about 21% and 6% respectively.
The proposed AFTC algorithm is applied to an electric load simulator (ELS), and the comparative experimental results indicate that AFTC controller is effective for PTSS.
The results indicate the proposed controller is capable of fully reducing the Cr6+ Cr3+ in the batch treatment process with minimal dosage of Fe2+.
The absolute bottom row on the trace indicates when the controller is computing an R1 covariance estimate.
Even though the tracking is not as precise as in the simulation, these results indicate the FES controller is capable of generating desired FES-induced torque to apply assistance to the patient.
Simulation results indicate that the proposed controller is effective and robust.
The experiment results indicate the performance of hybrid controller is favorable.
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CEO of Professional Science Editing for Scientists @ prosciediting.com