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Optimizing model predictive control of an industrial distillation column
(PERGAMON-ELSEVIER SCIENCE LTD, 2011)
The main scope of this work is the implementation of an MPC that integrates the control and the economic optimization of the system. The two problems are solved simultaneously through the modification of the control cost ...
Steady-state target optimization designs for integrating real-time optimization and model predictive control
(Elsevier, 2013-12)
In industrial practice, the optimal steady-state operation of continuous-time processes is typically addressed by a control hierarchy involving various layers. Therein, the Real-Time Optimization (RTO) layer computes the ...
Real time optimization (RTO) with model predictive control (MPC)
(PERGAMON-ELSEVIER SCIENCE LTD, 2010)
This paper studies a simplified methodology to integrate the real time optimization (RTO) of a continuous system into the model predictive controller in the one layer strategy. The gradient of the economic objective function ...
Modifier Adaptation for Real-Time Optimization - Methods and Applications
(MDPI, 2016-12)
This paper presents an overview of the recent developments of modifier-adaptation schemes for real-time optimization of uncertain processes. These schemes have the ability to reach plant optimality upon convergence despite ...
A feasible-side globally convergent modifier-adaptation scheme
(Elsevier, 2017-02)
In the context of static real-time optimization (RTO) of uncertain plants, the standard modifier-adaptation scheme consists in adding first-order correction terms to the cost and constraint functions of a model-based ...
Online energy management for a solar car using pseudospectral methods for optimal control
(Wiley-Blackwell, 2016)
This paper deals with the problem of energy planning for a solar car race. Therein, an electric vehicle powered only by means of a battery pack and the sun's energy must cross usually long distances in several days, facing ...
Model Adaptation for Real-Time Optimization in Energy Systems
(American Chemical Society, 2013-11)
Real-time optimization (RTO) is widely used in industry to operate processes close to their maximum performance. The models used for RTO need to be adapted using real-time data to ensure feasibility of the model optimal ...
Robust integration of real time optimization with linear model predictive control
(PERGAMON-ELSEVIER SCIENCE LTD, 2010)
Here, we study the stable integration of real time optimization (RTO) with model predictive control (MPC) in a three layer structure. The intermediate layer is a quadratic programming whose objective is to compute reachable ...
Aplicación de la teoría de opciones reales a la determinación del momento óptimo de cosecha forestalApplying the theory of real options to the optimal timing of timber harvests
(Universidad Nacional de Cuyo. Facultad de Ciencias Agrarias, 2012)
Discrete-time interval optimal control problem
(2019-08-03)
This paper proposes a new approach for the discrete-time interval optimal control problem. The optimal interval solution of discrete-time interval optimal control problem is obtained using the single-level constrained ...