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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 ...
Solving the set covering problem with binary cat swarm optimization
(Springer Verlag, 2015)
Comparative analysis of strut-and-tie models using Smooth Evolutionary Structural Optimization
(2013-11-01)
The strut-and-tie models are widely used in certain types of structural elements in reinforced concrete and in regions with complexity of the stress state, called regions D, where the distribution of deformations in the ...
Comparative analysis of strut-and-tie models using Smooth Evolutionary Structural Optimization
(2013-11-01)
The strut-and-tie models are widely used in certain types of structural elements in reinforced concrete and in regions with complexity of the stress state, called regions D, where the distribution of deformations in the ...
Optimal energy generation with biomass of sugarcane harvest
(2011-05-31)
The aim of this work is the application of the Interior Point and Branch and Bound methods in multiobjective optimization models related to sugarcane harvest residual biomass. These methods showed their viability to help ...
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 ...
Optimal reactive power dispatch using stochastic chance-constrained programming
(2012-11-27)
Deterministic Optimal Reactive Power Dispatch problem has been extensively studied, such that the demand power and the availability of shunt reactive power compensators are known and fixed. Give this background, a two-stage ...
Optimal reactive power dispatch using stochastic chance-constrained programming
(2012-11-27)
Deterministic Optimal Reactive Power Dispatch problem has been extensively studied, such that the demand power and the availability of shunt reactive power compensators are known and fixed. Give this background, a two-stage ...