An intelligent optimized fractional order sliding mode controller for biological system

The biological system has attracted many researchers with a lot of smart advances in the control system field. The control approaches have been effectively utilized in biological application to regulate the biological parameter functions based on the set point and threshold value. However, the controller's high disturbance has resulted in low gain and tuning performance. So, the current work has expected to plan a new African Buffalo based Recurrent Fractional-Order Sliding Mode (ABR-FOSM) for the biological system to tune the specific parameters like protein, pancreas, and Genetic Regulatory Network (GRN). Here, the incorporation of the buffalo algorithm has provided better tuning results. Moreover, the robustness of the designed controller has been validated by gaining the finest tuning performance and reduced Error and settling time.