The chemical industry is a vital part of the world economy transforming raw materials into crucial intermediary products. Batch processes are common in many sectors of the chemical industry, which are gaining in importance due to the increasing emphasis on fine and speciality chemicals that are mostly produced employing batch processes. The main advantage of batch processes is their relative ease of design and inherent flexibility to produce different products and product grades. The control of batch processes is challenging, since these are operated at unsteady state and are often highly nonlinear. Nonlinear model predictive control (NMPC) is therefore a promising approach that can handle nonlinearity and constraints on manipulated and con...
This paper presents a stochastic model predictive control approach for nonlinear systems subject to ...
Linear Model Predictive Control (MPC) can be considered as the state of the art advanced process con...
Nonlinear model predictive control is a popular control approach for highly nonlinear and unsteady s...
Nonlinear model predictive control (NMPC) is an attractive control approach to regulate batch proces...
Batch processes play a vital role in the chemical industry, but are difficult to control due to high...
Nonlinear model predictive control (NMPC) is one of the few methods that can handle multivariate non...
Batch processes are ubiquitous in the chemical industry and difficult to control, such that nonlinea...
Model predictive control is a popular control approach for multivariable systems with important proc...
As the complexity and scale of chemical processes has increased, engineers have desired a process co...
Nonlinear model predictive control (NMPC) is an effective method for optimal operation of batch proc...
Nonlinear model predictive control (NMPC) is an efficient control approach for multivariate nonlinea...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Chemical Engineering, May, 2020...
The petroleum, chemical, and electrochemical industries operate a wide variety of multivariable proc...
The effectiveness of stochastic online process optimization strongly depends on the choice of the un...
This paper presents two nonlinear model predictive control based methods for solving closed-loop sto...
This paper presents a stochastic model predictive control approach for nonlinear systems subject to ...
Linear Model Predictive Control (MPC) can be considered as the state of the art advanced process con...
Nonlinear model predictive control is a popular control approach for highly nonlinear and unsteady s...
Nonlinear model predictive control (NMPC) is an attractive control approach to regulate batch proces...
Batch processes play a vital role in the chemical industry, but are difficult to control due to high...
Nonlinear model predictive control (NMPC) is one of the few methods that can handle multivariate non...
Batch processes are ubiquitous in the chemical industry and difficult to control, such that nonlinea...
Model predictive control is a popular control approach for multivariable systems with important proc...
As the complexity and scale of chemical processes has increased, engineers have desired a process co...
Nonlinear model predictive control (NMPC) is an effective method for optimal operation of batch proc...
Nonlinear model predictive control (NMPC) is an efficient control approach for multivariate nonlinea...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Chemical Engineering, May, 2020...
The petroleum, chemical, and electrochemical industries operate a wide variety of multivariable proc...
The effectiveness of stochastic online process optimization strongly depends on the choice of the un...
This paper presents two nonlinear model predictive control based methods for solving closed-loop sto...
This paper presents a stochastic model predictive control approach for nonlinear systems subject to ...
Linear Model Predictive Control (MPC) can be considered as the state of the art advanced process con...
Nonlinear model predictive control is a popular control approach for highly nonlinear and unsteady s...