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An improved tuning methodology of PID controller for standard second order plus time delay systems (SOPTD) is developed using the approach of Linear Quadratic Regulator (LQR) and pole placement technique to obtain the desired performance measures.
A qualitative tuning methodology is developed and validated using numerical simulations.
The paper utilizes the Virtual Reference Feedback Tuning methodology for the iterative way of controller design and fine-tuning.
A tuning methodology is derived to update weight parts of the FNN.
This situation leads to the need of a dynamical tuning methodology.
However, the special nature of the chatter stability problem means that this classical tuning methodology is no longer optimal.
In this chapter, we introduce the new concept of tuning design weights, which, in turn, leads to a computer friendly tuning methodology.
In this section, we attempt to modify the PID tuning methodology for the context of a smart institutions theory.
The good linear tuning indicated that no mode hopping happened during the change of heat sink temperature.
The overall tuning methodology is comprised of three components; in our context, the PID methodology serves to characterize how the steering institutions produce their signal to the social actuators.
In order to select the appropriate ε value, the neighborhood size parameter, we applied the tuning methodology described in [28].
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