Predictive tracking control for a multi-compartment respiratory system with amplitude and rate input constraints

被引:0
作者
Li, Hancao [1 ]
Haddad, Wassim M. [1 ]
机构
[1] Georgia Inst Technol, Sch Aerosp Engn, Atlanta, GA 30332 USA
关键词
switched systems; multi-compartment respiratory system; amplitude and rate input constraints; nonlinear lung compliance; predictive tracking control; MECHANICAL VENTILATION; MODEL; STABILITY;
D O I
10.1080/00207179.2013.868929
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this article, we develop a predictive tracking controller for a nonlinear multi-compartment lung mechanics model. Specifically, for a given clinically plausible reference volume pattern, we use model predictive control to design a tracking controller that accounts for amplitude and rate input constraints. The predictive control law is derived by minimising a quadratic performance criterion involving a prediction of the system response over a prescribed time step. The proposed tracking control framework is applied to a two-compartment lung mechanics model with nonlinear lung compliance parameters.
引用
收藏
页码:1141 / 1152
页数:12
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