Optimal control of uncertain singular systems based on the α -pessimistic value

Key Points

• Findings suggest that employing optimal control strategies enhances performance in uncertain systems, addressing challenges effectively.
• Key metrics indicate significant improvements in control efficiency when utilizing the pessimistic value approach, demonstrating measurable benefits.
• The approach involves a mathematical modeling process that tackles uncertainty in singular systems, ensuring robust solutions are found.
• Results imply that these methods may enable more reliable engineering practices in systems characterized by uncertainty.