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Control system design process based on pole placement frequently requires to solve underdetermined multivariate polynomial systems.
In this paper three PI controller tuners based on pole placement iterative design are compared.
Regulation of the top composition for a binary mixture is carried out using an adaptive controller based on pole placement design.
After assessing the deficiencies of the previous models and control strategies proposed for the human body, an active control method is presented based on pole placement analysis.
It can be concluded that the chaos in systems with unknown dynamics may be eliminated by the presented intelligent control system based on pole placement and neural network.
Dominant modes of flexural vibration are identified from the frequency response of the developed model of the system and finally a state feedback controller based on pole placement technique is designed to actively suppress the vibrations.
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In addition, a simple controller based on pole-placement approach is developed.
The control system design is based on pole-placement techniques and a restricted Youla parametrization of the controller.
A feedback controller based on pole-placement design method is proposed to achieve desired tracking performance as well as stabilize the closed-loop system.
The first stabilizer is adjusted minimizing an objective function based on ITAE index, while second stabilizer is adjusted minimizing an objective function based on pole-placement technique.
A novel positive feedback controller is proposed which is based on the pole placement technique.
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Justyna Jupowicz-Kozak
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