Fractional cyber-neural systems — A brief survey

Neurotechnology has made great strides in the last 20 years. However, we still have a long way to go commercialize many of these technologies as lack unified framework study cyber-neural systems (CNS) that bring hardware, software, and neural system together. Dynamical play key role developing they capture different aspects brain provide insight into their function. Converging evidence suggests fractional-order dynamical are advantageous modeling because compact representation accuracy capturing long-range memory exhibited behavior. In this brief survey, an overview fractional CNS entails context CNS. particular, introduce basic definitions required for analysis synthesis CNS, encompassing identification, state estimation, closed-loop control. Additionally, illustration some applications draw possible future research directions. Advancements three areas will be critical next generation which will, ultimately, improve people’s quality life.