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Controllers for trajectory tracking have previously been designed and tuned based on a physical or empirical plant model.
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Therefore, the R specular spectrum can be designed and tuned for multiple applications.
The feedback gain k is designed and tuned using the Lyapunov theory.
From the identification of the systems dynamics, a proportional-integral controller was designed and tuned.
Current active queue management (AQM) and TCP protocol are designed and tuned to work well on wired networks where packet loss is mainly due to network congestion.
This paper explores how the controllers could be designed and tuned with the Quantitative Feedback Theory (QFT).
The proposed controller is based on a classical linear compensator, which is designed and tuned using only the well-known dynamics of the WEC.
The PI controller was designed and tuned taking into account the control accuracy and robust properties with respect to plant uncertainty and variation of operating conditions.
On the basis of these models a simple PI-controller was designed and tuned to guarantee zero steady-state error in case of an absorptivity disturbance.
A pair of mirror FIR (finite impulse response) filters are designed and tuned by an adaptive mechanism, and they produce a compensation signal for the rear levitation controller to cancel the disturbance brought by the track irregularity.
In this paper the cascade controller for a DC drive (consisting of the speed and current controllers in series) is designed and tuned using genetic algorithm technique with different objective functions.
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