An overview of distributed fixed-time and prescribed-time optimization of multi-agent systems

Key Points

• Optimization techniques enhance the performance of multi-agent systems across various applications.
• Algorithms designed for fixed-time and prescribed-time control improve system response and stability.
• Distributed control frameworks allow agents to collaborate efficiently, ensuring robust system performance.
• The findings suggest that effective optimization methods can significantly impact real-time applications in multi-agent setups.