В статті запропоновано підхід до параметричної ідентифікації інтервальних нелінійних моделей статичних систем на основі стандартної задачі мінімізації середньоквадратичного відхилення між значеннями модельованої характеристики статичного об’єкта та значеннями які належать до експериментальних інтервалів. Внаслідок розширення простору параметрів нелінійних моделей за рахунок введення додаткових коефіцієнтів для узгодження прогнозованих та експериментальних значень у функцію мети отримано задачу багатовимірної оптимізації з нелінійною багатоекстремальною функцією мети. В роботі досліджено характеристики функції мети та конвергенцію її оптимізації. Проведено компаративний аналіз відомих засобів глобальної оптимізації з метою вибору оптимального методу розв’язування оптимізаційної задачі ідентифікації параметрів інтервальних нелінійних моделей статичних систем.
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