Add to ORKGDiscrete Model Predictive Control (MPC) became one of the most widespread modern control principles. Process controls with a finite number of admissible values are common in a large number of relevant applications. For this type of optimization problems, the computational complexity is exponential in the number of binary optimization variables. The solver is based on a standard branch-and-bound method and interior point method is used for solution of the relaxed problem. The simulation experiment involved controlling the temperature of a batch reactor by using two on/off input valves and a discrete-position mixing valve.Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Programme [L01303, MSMT-7...
The industry's need to improve aspects of production such as quality and eciency meant that techniqu...
In this paper we investigate the use of model predictive control (MPC) as a means for controlling a ...
Modern day industrial processes are becoming ever more complex and require a method that is computat...
Discrete Model Predictive Control (MPC) became one of the most widespread modern control principles....
ii Hybrid systems combine the continuous behavior evolution specified by differential equations with...
This work presents the application of nonlinear model predictive control (NMPC) to a simulated indus...
Hybrid systems are dynamical systems characterized by the simultaneous presence of discrete and cont...
Model Predictive control (MPC) is shown to be particularly effective for the self-tuning control of ...
47th IEEE Conference on Decision and Control 9-11 Dec. 2008The practical implementation of min-max ...
Since their inception in the early 1980s industrial model predictive controllers (MPC) rely on conti...
Model predictive control (MPC) algorithms brought increase of the control system performance in many...
Model Predictive Control (MPC) is used to solve challenging multivariable-constrained control proble...
Linear Model Predictive Control (MPC) can be considered as the state of the art advanced process con...
Abstract: Predictive and optimal process control using finite Markov chains is considered. A basic p...
This paper describes a new robust model predictive control (MPC) scheme to control the discrete-time...
The industry's need to improve aspects of production such as quality and eciency meant that techniqu...
In this paper we investigate the use of model predictive control (MPC) as a means for controlling a ...
Modern day industrial processes are becoming ever more complex and require a method that is computat...
Discrete Model Predictive Control (MPC) became one of the most widespread modern control principles....
ii Hybrid systems combine the continuous behavior evolution specified by differential equations with...
This work presents the application of nonlinear model predictive control (NMPC) to a simulated indus...
Hybrid systems are dynamical systems characterized by the simultaneous presence of discrete and cont...
Model Predictive control (MPC) is shown to be particularly effective for the self-tuning control of ...
47th IEEE Conference on Decision and Control 9-11 Dec. 2008The practical implementation of min-max ...
Since their inception in the early 1980s industrial model predictive controllers (MPC) rely on conti...
Model predictive control (MPC) algorithms brought increase of the control system performance in many...
Model Predictive Control (MPC) is used to solve challenging multivariable-constrained control proble...
Linear Model Predictive Control (MPC) can be considered as the state of the art advanced process con...
Abstract: Predictive and optimal process control using finite Markov chains is considered. A basic p...
This paper describes a new robust model predictive control (MPC) scheme to control the discrete-time...
The industry's need to improve aspects of production such as quality and eciency meant that techniqu...
In this paper we investigate the use of model predictive control (MPC) as a means for controlling a ...
Modern day industrial processes are becoming ever more complex and require a method that is computat...