A Novel Blood Glucose Regulation Using TSK0-FCMAC: A Fuzzy CMAC Based on the Zero-Ordered TSK Fuzzy Inference Scheme

作者：Ting Chan Wai^*; Quek Chai

来源：IEEE Transactions on Neural Networks, 2009, 20(5): 856-871.

DOI：10.1109/TNN.2008.2011735

• Blood glucose regulation
• diabetes type I
• dietary profile
• intra- and interpatient metabolic variation
• localized memory structure
• model reference neural adaptive control
• Takagi-Sugeno-Kang (TSK) fuzzy inference scheme
• TSK0-FCMAC

This paper presents a novel blood glucose regulation for type I (insulin-dependent) diabetes mellitus patients using biologically inspired TSK0-FCMAC, a fuzzy cerebellar model articulation controller (CMAC) based on the zero-ordered Takagi-Sugeno-Kang (TSK) fuzzy inference scheme. TSK0-FCMAC is capable of performing localized online training with an effective fuzzy inference scheme that could respond swiftly to changing environment such as human's endocrine system. Without prior knowledge of disturbance (e.g., food intake), the proposed fuzzy CMAC is able to capture the glucose-insulin dynamics of individuals under different dietary profiles. Preliminary simulations show that the blood glucose level is kept within the state of euglycemia. The design of the proposed system follows closely to what is available in real life and is suitable for animal and clinical pilot testing in the near future.

• 出版日期2009-5
• 单位南阳理工学院