Simulation-Based Study of Control Strategies for Beating of Human Cardiomyocyte Cultures

Many biological systems, such as cell cultures in vitro, are complex, non-linear, and time varying, resulting challenges for the development of effective control methods. Therefore, it is beneficial to develop simulation environments understand dynamics these systems and, example, compare different strategies. In this paper, we created a mathematical model simulate temperature-dependency beating human cardiomyocyte cultures. The developed system can be used comparing closed-loop strategies studying how sensitive cardiomyocytes temperature variations. We employed performance fuzzy logic-based traditional Proportional-Integral controllers presented, their performances varied culture cases. Our results indicate clearly, controller outperform when they implemented Note Practitioners —This paper was motivated by challenge creating controllable engineered living materials. For reason, environment help materials, thus reduce discovery time. As demonstration, showed design strategies, Proportional-Integral-Derivate based on fuzzy-logic. study could controlled an optimal way vitro. show, fuzzy-logic PI-controller applied highly non-linear time-varying system.