Thermodynamics-Based Strategy to Achieve Balance between Robustness and Performance for Self-Organized Network Controls

Bio-inspired network controls are driven by the competition between their ordering force and disordering force. Both forces simultaneously affect their performance and robustness. Therefore, we must carefully determine their balance. In this paper, we focus on thermodynamic phenomena where a substance achieves the balance between both forces depending on its temperature. We translate bio-inspired network controls from the perspective of thermodynamics, and we analytically show that the appropriate balance between both forces can be achieved by selecting appropriate temperature.