We present CasADi, an open-source software framework for numerical optimization. CasADi
is a general-purpose tool that can be used to model and solve optimization problems with a …

This paper presents an energy management framework for building climate comfort (BCC)
systems interconnected in a grid via aquifer thermal energy storage (ATES) systems in the …

This article considers homothetic tube-based economic model predictive control synthesis
for constrained linear discrete-time systems. Since, in practical systems, full-state …

In this work, a computationally efficient nonlinear model-based control (NMBC) strategy is
developed for a trajectory-tracking problem in an acrylamide polymerization batch reactor …

Traditional deterministic robust fault detection threshold designs, such as the norm-based or
limit-checking method, are plagued by high conservativeness, which leads to poor fault …

This paper presents a tube-based robust economic MPC controller for discrete-time
nonlinear systems that are perturbed by disturbance inputs. The proposed algorithm …

Abstract Model predictive control is an advanced control approach for multivariable systems
with constraints, which is reliant on an accurate dynamic model. Most real dynamic models …

This paper presents a stochastic model predictive control approach for a thermal grid with
uncertainties in the consumer demand profiles. This approach leads to a finite-horizon …

This paper presents a control-oriented model for combined building climate comfort and
aquifer thermal energy storage (ATES) system. In particular, we first provide a description of …

This paper presents an approach to distributed stochastic model predictive control (SMPC)
of large-scale uncertain linear systems with additive disturbances. Typical SMPC …