Due to their complex nonlinear dynamics and batch-to-batch variability, batch processes
pose a challenge for process control. Due to the absence of accurate models and resulting …

To harness energy security and reduce carbon emissions, humankind is trying to switch
toward renewable energy resources. To this extent, fatty acid methyl esters, also known as …

This work presents an algorithm for estimation-based model predictive control with objective
prioritization such that distinct objectives may be defined for mutually exclusive operational …

In this article, we propose a robust tube-based MPC formulation for a class of hybrid
systems, namely autonomously switched PWA systems, with bounded additive disturbances …

Model predictive control (MPC) has acquired lots of developments and extensive
applications in various industries during the past 40 years. For the early version of basic …

We address the finite horizon control of a discrete time piecewise affine (PWA) system,
which is affected by an additive bounded disturbance. The goal is to robustly drive the state …

Monoclonal antibodies (mAb) are biopharmaceutical products that improve human
immunity. In this work, we propose a multi-actor proximal policy optimization-based …

This paper describes a simulator for the three-tank system process named Sim3Tanks. This
process presents a hybrid and nonlinear behavior and it is subject to different kinds of …

Dwell-time restrictions are critical to overcoming infeasibility caused by arbitrary switches in
constrained time-dependent switched systems, especially when the system equilibrium is …

This paper addresses a robust tube based model predictive control (RTBMPC) strategy for
tracking problem of piecewise affine (PWA) linear systems. The core idea of the RTBMPC …