An attractor is an important concept in dynamical systems theory. In a dynamical system, an attractor is a set of states or points in phase space that the system tends to evolve toward as time progresses. In many real systems, the presence of nonlinearity introduces complex behavior, often leading to chaotic dynamics. Despite their unpredictable appearance, these chaotic systems are still governed by deterministic rules and are typically confined to a strange attractor. Understanding the attractor helps in analyzing the system’s long-term behavior, even in the presence of chaotic fluctuations. These chaotic fluctuations, while appearing random, follow an underlying pattern that can be modeled and controlled. One of the central objectives of chaos control is to stabilize the system at a desired attractor. This may involve transitioning the system from chaotic dynamics to a more predictable state, such as a periodic orbit or a stable equilibrium. In this chapter, I will introduce how the dynamics of dysfunctional pancreatic \(\beta \) cells can be modeled and discuss a control method that utilizes on-demand electrical stimulation based on the principles of chaos control. Numerical simulation results demonstrate that the cell dynamics can be successfully regulated through a feedback mechanism, guiding the system back to a desired attractor despite initial dysfunction. These findings suggest that chaos control may enhance insulin secretion, potentially contributing to the treatment of type 2 diabetes. Our approach involves applying small electrical stimuli to activate the remaining healthy functions in dysfunctional cells. This method leverages homeostasis, a biological phenomenon characterized by long time constants. By applying weak, controlled stimuli, we can tap into the cell’s inherent ability to restore balance. As a result, the concept of Slow Electronics can play a crucial role in realizing this treatment method, offering a novel way to manipulate biological systems for therapeutic purposes.