Open AccessState feedback control for human inspiratory system
Author(s) -
Lafta E. J. Alkurawy,
Khalid G. Mohammed,
Ammar Issa Ismael
Publication year - 2022
Publication title -
international journal of power electronics and drive systems/international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
eISSN - 2722-2578
pISSN - 2722-256X
DOI - 10.11591/ijece.v12i3.pp2405-2413
Subject(s) - control theory (sociology) , nonlinear system , computer science , stability (learning theory) , matching (statistics) , state (computer science) , control (management) , differential equation , control system , respiratory system , control engineering , mathematics , medicine , artificial intelligence , engineering , algorithm , statistics , physics , machine learning , mathematical analysis , quantum mechanics , electrical engineering
The mathematical modeling of human respiratory system is an essentially part in saving precision information of diagnostic about the disease of cardiovascular respiratory system. The physics of respiratory system and cardiovascular are completely interconnected with each other. In this paper, we will study the state feedback control for the inspiratory system during study the characteristics of the response output with the stability. The model of system is nonlinear and linearized it by Tayler method to be simple to matching with the control theory. We convert the system from differential equation to state equation to find the optimal control that helps to drive the respiratory system. Simulations are managed to indicate the proposed method effectiveness. The results of simulations are validated by using a real information form the health center.