Stabilization of epileptic seizures over unknown cortex dynamics

Abstract

The simulation of cortical electrical activity of the cerebral cortex is very important for the treatment of neurological disorders involving seizures such as epilepsy, parkinson and etc. It is assumed that the mathematical model of the brain cortex has been exactly modeled. However, the cortex dynamics are highly nonlinear and chaotic under some conditions. The stabilization of seizures becomes difficult when cortex dynamics are unknown or uncertain. This paper presents design and application of the simple adaptive fuzzy control and proportional-integral-derivative (PID) control to the stabilization of the unknown epileptic dynamics. Assuming that all of the system states are not suitable for the measurement where only the system output is available. An adaptive update rule has been designed to allow the adjustment of the controller parameters. Simulation results show that the desired performance for the stabilization of epileptic seizure is achieved via simple controllers. © 2019 IEEE.