We propose a utopia-tracking strategy to handle multiple conflicting objectives in model
predictive control. The controller minimizes the distance of its vector of objectives to that of …

Abstract Nonlinear Model Predictive Control (NMPC) is a powerful technique that can be
used to control many industrial processes. Different and often conflicting control objectives …

This paper proposes a new multiobjective model predictive control (MO-MPC) of constrained
nonlinear systems. According to objective prioritization, the MO-MPC problem is formulated …

We propose a processing alternative for replacing the traditional and environmentally
dangerous solvents (as monoethanolamine, diethanolamine) in the process of CO 2 …

In response to the growing demand for therapeutic biomolecules, there is a need for
continuous and cost-effective bio-separation techniques to enhance extraction yield and …

In chemical engineering applications, process design and operation need to be optimized
for criteria such as profit, capital cost, conversion, yield and emissions simultaneously …

This research paper presents an offline and online user defined priority driven multi-
objective optimal control study of a bioprocess in a fed-batch reactor. Productivity and the …

This work addressed the rigorous modeling of catalytic distillation columns by
simultaneously considering relevant phenomena such as pressure drop across the column …

Due to the character of nonlinearity, uncertainties, time delays and so on in the industrial
reactors, the performance of proportional-integral-derivative (PID) control cannot always …

The connected vehicle (CV) system is one of the most effective core technologies in
intelligent transportation systems. In order to solve the optimal velocity prediction problem for …