November 19, 2025Scientific ReportsOpen Access

Multi-objective optimal synthesis of robust control systems for plants exhibiting non-minimum phase and integrating behaviour

View Full Paper

Ask AI

Bookmark

Authors

Discussion

Analysis reveals improved dynamic performance and stability in control systems using multi-objective optimization and genetic algorithms.

Robust control systems exhibit enhanced performance metrics across varied integrating and non-minimum phase systems.
Implementing a genetic algorithm, the proposed method focuses on minimizing phase margin penalty and maximizing dynamic performance.
Monte Carlo simulations validate the improved robustness of the synthesized controllers compared to classical designs.
The study identifies optimal control strategies using multi-objective optimization to advance stability in complex dynamic systems.

Neeharika et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark