COMPUTATIONALLY RELIABLE CONSTRAINED NONLINEAR MODEL PREDICTIVE CONTROL
Abstract
Model Predictive Control (MPC) is an increasingly popular approach for approximate optimal feedback synthesis in systems with state and control constraints. Despite signicant interest in MPC, the ability to deploy MPC in safety critical applications, such as in aerospace engineering, continues to be impeded by the reliability of the computations needed to determine suciently accurate solutions to the underlying optimal control problems onboard of the vehicles in real-time.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Aug 12, 2021
- Source ID
- FA95502010385
Entities
People
- Ilya V. Kolmanovsky
Organizations
- Air Force Office of Scientific Research
- Board of Regents of the University of Michigan
- United States Air Force