The use of noise-based tuning ensures the robust parameter tuning that enables the EAs to perform remarkably well in the further experimentations.
The IMC (Internal Model Control) controller based on robust tuning can improve the robustness and dynamic performance of the system.
At the same time, robust tuning constraints are given to accommodate process uncertainties in practice.
The exact achievement of the control system robustness target for all the controlled process models considered (first- and second-order) is one of the distinctive characteristics of the proposed model reference robust tuning (MoReRT) method.
Small controlled variable undershoots and smooth controller output signal are distinctive characteristics of the proposed model reference robust tuning method.
Two application examples show that the robust combined tuning gives satisfactory results for different dynamics and different tuning requirements.
Robust tuning constraints of the unified controller are derived in terms of the process uncertainties described in a multiplicative form.
The results show that the proposed approach provides fast, reliable and robust tuning of PSSs and FACTS devices for a problem in which both local and inter-area modes are targeted.
In 11 cells that presented robust tuning, efferent stimulation eliminated the typical damped oscillation in the membrane potential following depolarization (Fig. 3A).
