257 citations · 623 across the 37 of their papers we have counts for
19 papers · 1 filter
Automatic scenario generation for efficient solution of robust optimal control problems
Marta Zagorowska, Paola Falugi, Edward O'Dwyer +1
Existing methods for nonlinear robust control often use scenario-based approaches to formulate the control problem as large nonlinear optimization problems. The optimization proble…
Solving optimal control problems with non-smooth solutions using an integrated residual method and flexible mesh
Lucian Nita, Eric C. Kerrigan, Eduardo M. G. Vila +1
Solutions to optimal control problems can be discontinuous, even if all the functionals defining the problem are smooth. This can cause difficulties when numerically computing solu…
Fast and accurate method for computing non-smooth solutions to constrained control problems
Lucian Nita, Eduardo M. G. Vila, Marta A. Zagorowska +4
Introducing flexibility in the time-discretisation mesh can improve convergence and computational time when solving differential equations numerically, particularly when the soluti…
Automatic Scenario Generation for Robust Optimal Control Problems
Marta Zagorowska, Paola Falugi, Edward O'Dwyer +1
Existing methods for nonlinear robust control often use scenario-based approaches to formulate the control problem as nonlinear optimization problems. Increasing the number of scen…
Teaching Predictive Control Using Specification-based Summative Assessments
Ian McInerney, Eric C. Kerrigan
Including Model Predictive Control (MPC) in the undergraduate/graduate control curriculum is becoming vitally important due to the growing adoption of MPC in many industrial areas.…
Towards a Framework for Nonlinear Predictive Control using Derivative-Free Optimization
Ian McInerney, Lucian Nita, Yuanbo Nie +2
The use of derivative-based solvers to compute solutions to optimal control problems with non-differentiable cost or dynamics often requires reformulations or relaxations that comp…