How can model predictive control be applied to aircraft flight control?

Model Predictive Control (MPC) for flight control: Predict future states using onboard model, Optimize control sequence over prediction horizon, Apply first control, repeat at each time step, and Handle constraints explicitly (actuator limits, AOA limits). Advantages: Explicit constraint handling, Natural multi-objective optimization, Can handle nonlinear dynamics, and Anticipatory control action. Challenges for aircraft: Computational requirements for real-time implementation (improving with hardware), Certification of optimization-based control, Model accuracy requirements, and Guaranteed stability/robustness demonstration. Applications: Aggressive maneuvering where constraints are active, Reconfigurable control for damage/failure, and UAV guidance with path constraints. Research active in military and UAV applications; not yet in certified transport aircraft due to certification challenges.