IEEE Access | 卷:10 |
Adaptive Neural Model Matching Control for Uncertain Immune Systems via H∞ Approaches | |
Yeong-Chan Chang1  Kuang-Fen Han2  Hui-Min Yen3  | |
[1] Department of Electrical Engineering, Kun Shan University, Tainan, Taiwan; | |
[2] Department of Nursing, Min-Hwei Junior College of Health Care Management, Tainan, Taiwan; | |
[3] Green Energy Technology Research Center, Kun Shan University, Tainan, Taiwan; | |
关键词: Immune systems; model matching; intelligent control scheme; disturbance attenuation; neural network system; | |
DOI : 10.1109/ACCESS.2022.3160835 | |
来源: DOAJ |
【 摘 要 】
The problem of the robust neural network-based model matching control is considered for a large class of uncertain immune systems. In order to achieve the purpose of therapeutic enhancement, it is essential to deal simultaneously with the effects of plant uncertainties, time-varying perturbations, and continuing environmental pathogens. Neural network control algorithm, robust
【 授权许可】
Unknown