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http://cris.utm.md/handle/5014/1042| Title: | Synthesis of the State-Feedback Controllers by the Genetic Algorithm According to the Maximum Stability Degree Criterion | Authors: | COJUHARI, Irina FIODOROV Ion IZVOREANU, Bartolomeu MORARU, Dumitru |
Keywords: | automatic control system;maximum stability degree;state-feedback controllers;genetic algorithm | Issue Date: | 2021 | Publisher: | IEEE | Source: | I. Cojuhari, I. Fiodorov, B. Izvoreanu and D. Moraru, "Synthesis of the State-Feedback Controllers by the Genetic Algorithm According to the Maximum Stability Degree Criterion," 2021 23rd International Conference on Control Systems and Computer Science (CSCS), 2021, pp. 83-88, doi: 10.1109/CSCS52396.2021.00021. | Project: | 20.80009.5007.26. Modele, algoritmi şi tehnologii de conducere, optimizare şi securizare a sistemelor Ciber- Fizice | Journal: | 2021 23rd International Conference on Control Systems and Computer Science (CSCS) | Conference: | CSCS | Abstract: | The synthesis algorithm of state-feedback controllers is proposed in this paper. It was improved the procedure of finding the tuning parameters by the maximum stability degree criterion, using the genetic algorithm. Based on the genetic algorithm it is calculated the value of the maximum stability degree, according to witch it is calculated the control vector of the state-feedback controller. The proposed algorithm was verified by the computer simulation and there are presented some case studies. The case study was done for the situation when the control object is approximated with model of object with inertia and inertia with astatism. |
URI: | http://cris.utm.md/handle/5014/1042 | ISBN: | 978-1-6654-3939-8 978-1-6654-3940-4 |
ISSN: | 2379-0482 2379-0474 |
DOI: | 10.1109/CSCS52396.2021.00021 |
| Appears in Collections: | Journal Articles |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2021063659.pdf | 246.83 kB | Adobe PDF | View/Open |
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