8 citations · 14 across the 8 of their papers we have counts for
8 papers
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…
Conditions for Digit Stability in Iterative Methods Using the Redundant Number Representation
Ian McInerney
Iterative methods play an important role in science and engineering applications, with uses ranging from linear system solvers in finite element methods to optimization solvers in…
High-level Synthesis using the Julia Language
Benjamin Biggs, Ian McInerney, Eric C. Kerrigan +1
The growing proliferation of FPGAs and High-level Synthesis (HLS) tools has led to a large interest in designing hardware accelerators for complex operations and algorithms. Howeve…
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…
Horizon-independent Preconditioner Design for Linear Predictive Control
Ian McInerney, Eric C. Kerrigan, George A. Constantinides
First-order optimization solvers, such as the Fast Gradient Method, are increasingly being used to solve Model Predictive Control problems in resource-constrained environments. Unf…