Abstract
In order to achieve desired regulation, a regulation algorithm should be independent of the epileptic model and robust enough to disturbances. In this paper, by combining the advantages of active disturbance rejection control (ADRC) and iterative learning control (ILC), an active disturbance rejection iterative learning control (ADRILC) is designed to suppress the high amplitude epileptiform waves generated by Jansen’s neural mass model (NMM). Simulation results show that, compared with ADRC, better performance can be obtained based on a more desired regulation signal generated by ADRILC. It may provide a promising closed-loop regulation way for epilepsy in clinics.
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