Extended State Observer-Based Sliding Mode Control for Epilepsy

被引：0

作者：

Wei, Wei ^{[1
,2
,3
]}

Li, Ping ^{[1
,2
,3
]}

Zuo, Min ^{[1
,2
,3
]}

机构：

[1] Beijing Technol & Business Univ, Sch Artificial Intelligence, Beijing 100048, Peoples R China

[2] Beijing Technol & Business Univ, Natl Engn Lab Agri Prod Qual Traceabil, Beijing 100048, Peoples R China

[3] Beijing Key Lab Big Data Technol Food Safety, Beijing 100048, Peoples R China

来源：

PROCEEDINGS OF 2020 CHINESE INTELLIGENT SYSTEMS CONFERENCE, VOL I | 2021年 / 705卷

基金：

中国国家自然科学基金;

关键词：

Epilepsy; Neural mass model; Closed-loop neuromodulation; Extended state observer; Sliding mode control;

D O I：

10.1007/978-981-15-8450-3_83

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Closed-loop neuromodulation has great potentials in epilepsy and other neurological diseases. Given the complexity and particularity of epilepsy, the control strategy should be robust enough to those uncertainties and disturbances. To reduce the dependence on model information and ensure the closed-loop regulation of epilepsy, an extended state observer-based sliding mode control scheme is designed to suppress epileptic spikes produced by the Jansens neural mass model. Simulation results confirm the extended state observer-based sliding mode control in suppressing epilepsy.

引用

页码：801 / 809

页数：9

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