Sustainability has been defined as the concept of meeting the needs of the present without
compromising the ability of future generations to meet their own needs [1]. Other definitions …

This “white paper” is a concise perspective based on a session during FIPSE 3, held in
Rhodes, Greece, June 20–23, 2016. This was the third conference in the series “Future …

We introduce MuJoCo MPC (MJPC), an open-source, interactive application and software
framework for real-time predictive control, based on MuJoCo physics. MJPC allows the user …

Combined heat and power (CHP) plants are widely used in industrial applications. In the
aftermath of the recession, many of the associated production processes are under-utilized …

Recent results in the development of efficient large-scale nonlinear programming (NLP)
algorithms have led to fast, on-line realizations of optimization-based methods for nonlinear …

Abstract Model predictive control (MPC) is widely accepted as a generic multivariable
controller with constraint handling. More recently, MPC has been extended to nonlinear …

In this paper, NMPC schemes based on fast update methods (fast NMPC schemes) are
reviewed that strive to provide a fast but typically suboptimal update of the control variables …

This paper addresses the impact of decomposition on the closed-loop performance and
computational efficiency of model predictive control (MPC) of nonlinear process networks …

After more than one century from its first use for electric power production, steam cycles are
still the object of continuous research and development efforts worldwide. Indeed, owing to …

A multi-agent integrated distributed moving horizon estimation (DMHE) and model predictive
control (DMPC) framework is developed for complex process networks. This framework …