Sufficient conditions for SISO and MIMO minimum-phase systems have been derived for systematically detuning a predictive controller in order to achieve robustness with respect to modelling errors. They provide practical guidelines to overcome the dilemma of the performance-robustness tradeoff which is demonstrated controlling a laboratory heat exchange network
District heating and cooling networks have great potential for energy saving, efficient thermal ener...
MPC of thermal systems usually results in robust operation with respect to uncertainties thanks to s...
This paper aims to demonstrate the practical aspects of process control theory for undergraduate stu...
This paper discusses the online optimization and control of a heat-exchanger network (HEN) through a...
In this article, the dynamic responses of heat exchanger networks to disturbance and setpoint change...
This work applies the concept of self-optimising control for the operation of the given network. The...
This paper deals with the problem of robust model predictive control of an uncertain linearized mode...
In this paper we investigate the effect of the implementation of convex-lifting-based robust control...
We applied MPC with a constraint removal approach to a laboratory plate heat exchanger. By detecting...
While, during the past decades, many strategiesfor heat exchanger network synthesis and design have ...
Research studies concerning heating and cooling systems have increased in recent years, pledging gre...
It is presented in this paper an adaptive predictive supervisory algorithm to the temperature contro...
AbstractThis paper presents the basic concepts of the conventional and robust control design applied...
1. Introduction – A robust optimization model aimed at heat exchanger network synthesis is developed...
In practice Model Predictive Control (MPC) is prone to model mismatch, state estimation error and di...
District heating and cooling networks have great potential for energy saving, efficient thermal ener...
MPC of thermal systems usually results in robust operation with respect to uncertainties thanks to s...
This paper aims to demonstrate the practical aspects of process control theory for undergraduate stu...
This paper discusses the online optimization and control of a heat-exchanger network (HEN) through a...
In this article, the dynamic responses of heat exchanger networks to disturbance and setpoint change...
This work applies the concept of self-optimising control for the operation of the given network. The...
This paper deals with the problem of robust model predictive control of an uncertain linearized mode...
In this paper we investigate the effect of the implementation of convex-lifting-based robust control...
We applied MPC with a constraint removal approach to a laboratory plate heat exchanger. By detecting...
While, during the past decades, many strategiesfor heat exchanger network synthesis and design have ...
Research studies concerning heating and cooling systems have increased in recent years, pledging gre...
It is presented in this paper an adaptive predictive supervisory algorithm to the temperature contro...
AbstractThis paper presents the basic concepts of the conventional and robust control design applied...
1. Introduction – A robust optimization model aimed at heat exchanger network synthesis is developed...
In practice Model Predictive Control (MPC) is prone to model mismatch, state estimation error and di...
District heating and cooling networks have great potential for energy saving, efficient thermal ener...
MPC of thermal systems usually results in robust operation with respect to uncertainties thanks to s...
This paper aims to demonstrate the practical aspects of process control theory for undergraduate stu...