Affiliations: [a] School of Information and Electronic Engineering, Shandong Technology and Business University (Key Laboratory of Sensing Technology and Control in Universities of Shandong), Yantai, Shandong, China
| [b] School of Information and Electronic Engineering, Shandong Technology and Business University (Key Laboratory of Intelligent Information Processing in Universities of Shandong), Yantai, Shandong, China
| [c]
Yantaishan Hospital, Yantai, China
Abstract: In view of the blood circulation network model that reflects the system performance with difficulty. According to blood circulation network branch flow quantity and pressure mutual influence hemodynamic characteristic, utilize Kirchhoff’s current and voltage laws, graph theoretic concepts and hemodynamic equations of individual branches, establishes the multivariable nonlinear minimal model. Decentralized and adaptive controller design based on the minimal model, we solve a decentralized and adaptive nonlinear control problem where actuator valves and flow rate sensors are collocated in individual branches and do not exchange information. We solve the tracking (time varying reference signals) problems. Through cerebral circulation network simulation, it can realize the control process from pathology to normal, provides the basic theories to treatment and method of the diseases about the cerebral circulation.
