19 citations · 46 across the 13 of their papers we have counts for
5 papers · 1 filter
PRESAS: Block-Structured Preconditioning of Iterative Solvers within a Primal Active-Set Method for fast MPC
Rien Quirynen, Stefano Di Cairano
Model predictive control (MPC) for linear dynamical systems requires solving an optimal control structured quadratic program (QP) at each sampling instant. This paper proposes a pr…
acados: a modular open-source framework for fast embedded optimal control
Robin Verschueren, Gianluca Frison, Dimitris Kouzoupis +7
This paper presents the acados software package, a collection of solvers for fast embedded optimization intended for fast embedded applications. Its interfaces to higher-level lang…
Approximate Dynamic Programming For Linear Systems with State and Input Constraints
Ankush Chakrabarty, Rien Quirynen, Claus Danielson +1
Enforcing state and input constraints during reinforcement learning (RL) in continuous state spaces is an open but crucial problem which remains a roadblock to using RL in safety-c…
A Structure Exploiting Branch-and-Bound Algorithm for Mixed-Integer Model Predictive Control
Pedro Hespanhol, Rien Quirynen, Stefano Di Cairano
Mixed-integer model predictive control (MI-MPC) requires the solution of a mixed-integer quadratic program (MIQP) at each sampling instant under strict timing constraints, where pa…
Adjoint-based SQP Method with Block-wise quasi-Newton Jacobian Updates for Nonlinear Optimal Control
Pedro Hespanhol, Rien Quirynen
Nonlinear model predictive control~(NMPC) generally requires the solution of a non-convex optimization problem at each sampling instant under strict timing constraints, based on a…