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In industrial practice, controller designs are performed based on an approximate model of the actual process.
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In practice, the linear controller design is usually done disregarding a possible nonlinear plant/linear model mismatch.
In contrast to industrial practice in logic controller design, where manual, experience-based, and thus error-prone procedures are commonly used, this paper proposes a methodology that aims at systematizing the design procedures as much as possible.
However, in practice, almost all controllers have time-varying delay, hence invalidating this assumption.
In practice, however, existing controllers are mostly designed for tuning low-level performance indicators instead of high-level requirements.
To show the effectiveness of the control design approach in practice, the robust sheet controllers are successfully implemented on an experimental paper path setup.
In practice, the proposed synchronization controller will be easy to implement.
Even though employed widely in industrial practice, the popular PID controller has weaknesses that limit its achievable performance, and an intrinsic structure that makes tuning not only more complex than necessary, but also less transparent with respect to the key attributes of the overall controller performance, namely: robustness, set-point tracking, and disturbance rejection.
Other songs, such as "One" and "Holiday in Cambodia", are extremely difficult on the expert level, may seem impossible, but can be done with enough practice and holding the controller differently to get past the parts where fast strumming comes into play.
In practice, simple proportional integral (PI) controllers are used to control the UPFC.
The practice helps air-traffic controllers regulate the flow of arrivals to extract the maximum capacity out of the runways.
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