5 papers
Exact Continuous Reformulations of Logic Constraints in Nonlinear Optimization and Optimal Control Problems
Jad Wehbeh, Eric C. Kerrigan
Many nonlinear optimal control and optimization problems involve constraints that combine continuous dynamics with discrete logic conditions. Standard approaches typically rely on…
Smooth Logic Constraints in Nonlinear Optimization and Optimal Control Problems
J. Wehbeh, E. C. Kerrigan
In some optimal control problems, complex relationships between states and inputs cannot be easily represented using continuous constraints, necessitating the use of discrete logic…
Update-Aware Robust Optimal Model Predictive Control for Nonlinear Systems
J. Wehbeh, E. C. Kerrigan
Robust optimal or min-max model predictive control (MPC) approaches aim to guarantee constraint satisfaction over a known, bounded uncertainty set while minimizing a worst-case per…
Optimistic vs Pessimistic Uncertainty Model Unfalsification
Jannes Hühnerbein, Jad Wehbeh, Eric C. Kerrigan
We present a novel, input-output data-driven approach to uncertainty model identification. As the true bounds and distributions of system uncertainties ultimately remain unknown, w…
State-Dependent Uncertainty Modeling in Robust Optimal Control Problems through Generalized Semi-Infinite Programming
J. Wehbeh, E. C. Kerrigan
Generalized semi-infinite programs (generalized SIPs) are problems featuring a finite number of decision variables but an infinite number of constraints. They differ from standard…