Juraj Oravec

TL;DR: This paper provides a unified framework for model predictive building control technology with focus on the real-world applications and presents the essential components of a practical implementation of MPC such as different control architectures and nuances of communication infrastructures within supervisory control and data acquisition (SCADA) systems.

TL;DR: In this article, robust model predictive control (RMPC) is used for the control of a heat exchanger network, where three counter-current heat exchangers with uncertain parameters connected in series represent the controlled process.

TL;DR: The extensive simulation case study of the robust MPC and proportional-integral-derivative (PID) control of the shell-and-tube heat exchangers confirms significantly improved control performance and energy savings when the newly designed robustMPC with integral action is used.

TL;DR: In this paper, a robust model-based predictive control (MPC) of a heat exchanger is proposed to improve the control performance and ensure energy savings during the heat exchange operation.

TL;DR: The objective here is to improve control performance of a well tuned PI controller by introducing a reference governor scheme, which was employed to control pH in the chemical vessel and its control performance is compared with conventional PI controller.