Determination of an optimal control strategy for drug administration in tumor treatment using multi-objective optimization differential evolution

2016 ◽  
Vol 131 ◽  
pp. 51-61 ◽  
Author(s):  
Fran Sérgio Lobato ◽  
Vinicius Silvério Machado ◽  
Valder Steffen
Keyword(s):  
Optimal Control ◽  
Differential Evolution ◽  
Drug Administration ◽  
Control Strategy ◽  
Multi Objective Optimization ◽  
Tumor Treatment ◽  
Optimal Control Strategy ◽  
Multi Objective

scholarly journals Multi-Objective Unified Optimal Control Strategy for DAB Converters with Triple-Phase-Shift Control

Energies ◽  
2021 ◽  
Vol 14 (20) ◽  
pp. 6444
Author(s):  
Jinhui Zeng ◽  
Yao Rao ◽  
Zheng Lan ◽  
Dong He ◽  
Fan Xiao ◽  
...  
Keyword(s):  
Optimal Control ◽  
Phase Shift ◽  
Dynamic Response ◽  
Control Strategy ◽  
High Efficiency ◽  
Soft Switching ◽  
Optimal Control Strategy ◽  
Current Stress ◽  
Multi Objective ◽  
Shift Control

To solve the problems of large current stress, difficult soft-switching of all switches, and slow dynamic response of dual active bridge converters, a multi-objective unified optimal control strategy based on triple-phase-shift control was proposed. The forward power flow global modes of triple-phase-shift control were analyzed, and three high-efficiency modes were selected to establish the analytical models of current stress and soft-switching. Combined with these models, the optimal solutions in different modes were derived by using the cost function-optimization equation to overcome the limitation of the Lagrange multiplier method, such that the DAB converter achieved the minimum current stress, and all switches operated in the soft-switching state over the entire power range. At the same time, the virtual power component was introduced in the phase-shift ratio combination, which improved the dynamic response of output voltage under the input voltage or load steps changed by power control. The theoretical analysis and experimental results show that the proposed control strategy can optimize the performance of the DAB converter from three aspects, such as current stress, soft-switching, and dynamic response, which achieves multi-objective optimization of the steady-state and dynamic performance of DAB converters.

scholarly journals Determination of an optimal control strategy for vaccine administration in COVID-19 pandemic treatment

2020 ◽  
Vol 196 ◽  
pp. 105664 ◽  
Author(s):  
Gustavo Barbosa Libotte ◽  
Fran Sérgio Lobato ◽  
Gustavo Mendes Platt ◽  
Antônio J. Silva Neto
Keyword(s):  
Optimal Control ◽  
Control Strategy ◽  
Optimal Control Strategy ◽  
Vaccine Administration

Control Logic for Real Time Control of Flow in Combined Sewers

1974 ◽  
Vol 9 (1) ◽  
pp. 217-234 ◽  
Author(s):  
W. Bell ◽  
G. Johnson ◽  
C. B. Winn
Keyword(s):  
Optimal Control ◽  
Control Strategy ◽  
Real Time Control ◽  
Control Logic ◽  
Optimal Control Strategy ◽  
Time Control ◽  
Sewer Systems ◽  
Combined Sewer ◽  
Control Of Flow

Abstract This paper presents a method for determining an optimal control strategy for the real time control of flow in combined sewer systems. The objective of this control is to minimize weighted flow diversions from the sewer system to the receiving waters during storm periods. The elements of a control system for combined sewers are described first. This is followed by a development of a reservoir model for combined sewer systems having weir and orifice controls at the regulator structures. An example, verified by the variational calculus, is given of an optimal control strategy that will minimize the weighted overflows from a system of three reservoirs. Examination of this optimal strategy and others presented in the literature shows that the optimal control strategy for this type of problem typically falls on constraint boundaries and includes jumps in the orifice controls from maximum to minimum positions. By formulating these common operating procedures into a set of rules it is shown that if the times at which the jumps in the orifice controls occur are known, then for a given set of inflow hydrographs the control strategy is completely defined. The determination of an optimal control is then reduced to finding the optimal times for the jumps in the orifice controls to occur. A procedure for this optimization is outlined and the results of its application to a system of ten reservoirs are presented. It is concluded that the method presented for the determination of an optimal control logic would be suitable for a system containing up to twenty control points and would ensure maximum utilization of available system storage capacity.

Determination of an Optimal Control Strategy for a Generic Surface Vehicle

2014 ◽  
Author(s):  
Thomas A. Wettergren ◽  
David B. Segala ◽  
David Chelidze
Keyword(s):  
Optimal Control ◽  
Control Strategy ◽  
Optimal Control Strategy

NARMAX Model Identification Using Multi-Objective Optimization Differential Evolution

2018 ◽  
Vol 10 (7) ◽  
Author(s):  
Mohd Zakimi Zakaria ◽  
◽  
Zakwan Mansor ◽  
Azuwir Mohd Nor ◽  
Mohd Sazli Saad ◽  
...  
Keyword(s):  
Differential Evolution ◽  
Model Identification ◽  
Multi Objective Optimization ◽  
Multi Objective

Application of Optimal Control Strategy to Converter Gas Recovery System

2012 ◽  
Vol 38 (6) ◽  
pp. 1017 ◽  
Author(s):  
Jia-Yan ZHANG ◽  
Zhong-Hai MA ◽  
Xiao-Bin QIAN ◽  
Shao-Ming LI ◽  
Jia-Hong LANG
Keyword(s):  
Optimal Control ◽  
Control Strategy ◽  
Optimal Control Strategy ◽  
Gas Recovery ◽  
Recovery System ◽  
Converter Gas

PERTURBATION PARAMETERS TUNING OF MULTI-OBJECTIVE OPTIMIZATION DIFFERENTIAL EVOLUTION AND ITS APPLICATION TO DYNAMIC SYSTEM MODELING

2015 ◽  
Vol 75 (11) ◽  
Author(s):  
Mohd Zakimi Zakaria ◽  
Hishamuddin Jamaluddin ◽  
Robiah Ahmad ◽  
Azmi Harun ◽  
Radhwan Hussin ◽  
...  
Keyword(s):  
Differential Evolution ◽  
Dynamic System ◽  
Dynamic Systems ◽  
System Modeling ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Structure Selection ◽  
Dynamic System Modeling ◽  
Perturbation Parameters ◽  
Model Structure Selection

This paper presents perturbation parameters for tuning of multi-objective optimization differential evolution and its application to dynamic system modeling. The perturbation of the proposed algorithm was composed of crossover and mutation operators.  Initially, a set of parameter values was tuned vigorously by executing multiple runs of algorithm for each proposed parameter variation. A set of values for crossover and mutation rates were proposed in executing the algorithm for model structure selection in dynamic system modeling. The model structure selection was one of the procedures in the system identification technique. Most researchers focused on the problem in selecting the parsimony model as the best represented the dynamic systems. Therefore, this problem needed two objective functions to overcome it, i.e. minimum predictive error and model complexity.  One of the main problems in identification of dynamic systems is to select the minimal model from the huge possible models that need to be considered. Hence, the important concepts in selecting good and adequate model used in the proposed algorithm were elaborated, including the implementation of the algorithm for modeling dynamic systems. Besides, the results showed that multi-objective optimization differential evolution performed better with tuned perturbation parameters.

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