Coordinated Control

Coordinated control focuses on managing multiple interacting systems to achieve a shared objective, addressing challenges like maintaining both accuracy and stability in complex tasks. Current research emphasizes hierarchical control architectures, often employing model predictive control (MPC) or linear quadratic regulator (LQR) algorithms, to decompose complex tasks into manageable sub-tasks and handle uncertainties. This research is significant for improving the performance and robustness of robotic systems, autonomous vehicles, and other multi-agent systems, leading to more efficient and adaptable control strategies across diverse applications.