DECENTRALIZED MODEL PREDICTIVE CONTROL

Decentralized Model Predictive Control (DMPC) is highly relevant to drone technology and has significant implications for both the offensive and defensive scenarios we just analyzed in the DEW research. Model Predictive Control (MPC) is an advanced control strategy that:  (1) Uses mathematical models to predict future system behavior; (2) Optimizes control decisions over a prediction horizon (e.g., next 10-30 seconds); (3) Executes only the first control action, then re-optimizes (receding horizon approach); and (4) Handles constraints and multiple competing objectives.

DMP000 - Decentralized Model Predictive Control Research Questions
DMP001 - Foundation Concepts
DMP002 - Technical Details
DMP003 - Communication and Coordination
DMP004 - Drone Swarm Applications
DMP005 - Military Applications
DMP006 - Implementation and Performance
DMP007 - Advanced Research
DMP008 - Integration and Systems
DMP009 - Simulation and Testing
DMP010 - Future Directions