scholarly journals A mathematical modeling with optimal control strategy of transmission of COVID-19 pandemic virus

2020 ◽  
Keyword(s):  
Mathematical Modeling ◽  
Optimal Control ◽  
Control Strategy ◽  
Optimal Control Strategy ◽  
Pandemic Virus

scholarly journals A New Mathematical Modeling with Optimal Control Strategy for the Dynamics of Population of Diabetics and Its Complications with Effect of Behavioral Factors

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Abdelfatah Kouidere ◽  
Abderrahim Labzai ◽  
Hanane Ferjouchia ◽  
Omar Balatif ◽  
Mostafa Rachik
Keyword(s):  
Mathematical Modeling ◽  
Optimal Control ◽  
Control Strategy ◽  
Negative Impact ◽  
Optimal Controls ◽  
Optimal Control Strategy ◽  
Awareness Campaigns ◽  
Surrounding Environment ◽  
Dynamics Of Population

We propose an optimal control strategy by conducting awareness campaigns for diabetics about the severity of complications of diabetes and the negative impact of an unbalanced lifestyle and the surrounding environment, as well as treatment and psychological follow-up. Pontryagin’s maximum principle is used to characterize the optimal controls, and the optimality system is solved by an iterative method. Finally, some numerical simulations are performed to verify the theoretical analysis using MATLAB.

Cutting Tools Offset in Lathe Machines Using a Modern Heuristic Technique

2014 ◽  
Author(s):  
Dhafar Al-Ani ◽  
Saeid Habibi
Keyword(s):  
Mathematical Modeling ◽  
Optimal Control ◽  
Control Strategy ◽  
Cutting Tools ◽  
Industrial System ◽  
Optimal Control Strategy ◽  
Swarm Optimization ◽  
De Algorithm ◽  
Stepper Motors ◽  
Heuristic Technique

In this paper, an optimal control strategy (i.e., offset settings system) based on the new Multi-objective Particle Swarm Optimization with Differential Evolution (MOPSO-DE) technique is developed and presented. The MOPSO-DE algorithm is used for calculating the optimal positions (i.e., offset settings) for the cutting tools in lathe machines. This optimal control strategy yields interesting results without a need to go through the complex mathematical modeling of the lathe system. The proposed technique is validated considering a real-world industrial system. This strategy is designed to take an action every 20 pieces, and it takes only 2.5 sec to run the code and optimally calculate the new settings. The control strategy is implemented using two high precision linear stepper motors. By implementing the new optimal control strategy, the estimated number of the defective pieces per day can be reduced by 85%.

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

Optimal control strategy for cancer remission using combinatorial therapy: A mathematical model-based approach

2021 ◽  
Vol 145 ◽  
pp. 110789
Author(s):  
Parthasakha Das ◽  
Samhita Das ◽  
Pritha Das ◽  
Fathalla A. Rihan ◽  
Muhammet Uzuntarla ◽  
...  
Keyword(s):  
Mathematical Model ◽  
Optimal Control ◽  
Control Strategy ◽  
Optimal Control Strategy ◽  
Combinatorial Therapy ◽  
Model Based ◽  
Cancer Remission
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