Add to ORKGIn this paper, we consider a class of non-standard optimal control problems in which the objective function is in max-min form and the state variables evolve over different time horizons. Such problems arise in the control of gradient elution chromatography—an industrial process used to separate and purify multi-component chemical mixtures. We develop a computational method for solving this class of optimal control problems based on the control parameterization technique, a time-scaling transformation, and a new exact penalty method
The batch chemical reaction is chosen as the process model to be optimized and the rate constants ar...
In this thesis, we develop new computational methods for three classes of dynamic optimization probl...
In this paper, we develop a computational method for a class of optimal control problems where the o...
Gradient elution chromatography is an industrial process used to separate and purify multi-component...
This contribution presents a novel model-based methodology for open-loop optimal control of batch hi...
Chromatography is an important separation process for several industries due to its ability to separ...
Chromatography is an important separation process for several industries due to its ability to separ...
This contribution concerns the development of generic methods and tools for robust optimal control o...
This contribution presents a novel offline dynamic multi-objective optimization framework for high-p...
Abstract. In the present paper a chromatographic separation problem is modeled and solved using Mixe...
In this paper we study optimal control computation based on the control parameterization method for ...
In this paper we study optimal control computation based on the control parameterization method for ...
In this paper we study optimal control computation based on the control parameterization method for ...
In this paper we study optimal control computation based on the control parameterization method for ...
: This contribution presents an integrated approach to the optimal operation and automatic control o...
The batch chemical reaction is chosen as the process model to be optimized and the rate constants ar...
In this thesis, we develop new computational methods for three classes of dynamic optimization probl...
In this paper, we develop a computational method for a class of optimal control problems where the o...
Gradient elution chromatography is an industrial process used to separate and purify multi-component...
This contribution presents a novel model-based methodology for open-loop optimal control of batch hi...
Chromatography is an important separation process for several industries due to its ability to separ...
Chromatography is an important separation process for several industries due to its ability to separ...
This contribution concerns the development of generic methods and tools for robust optimal control o...
This contribution presents a novel offline dynamic multi-objective optimization framework for high-p...
Abstract. In the present paper a chromatographic separation problem is modeled and solved using Mixe...
In this paper we study optimal control computation based on the control parameterization method for ...
In this paper we study optimal control computation based on the control parameterization method for ...
In this paper we study optimal control computation based on the control parameterization method for ...
In this paper we study optimal control computation based on the control parameterization method for ...
: This contribution presents an integrated approach to the optimal operation and automatic control o...
The batch chemical reaction is chosen as the process model to be optimized and the rate constants ar...
In this thesis, we develop new computational methods for three classes of dynamic optimization probl...
In this paper, we develop a computational method for a class of optimal control problems where the o...