Nonlinear optimal control of the acute inflammatory response. (January 2020)

• Record Type: Journal Article
• Authors: Rigatos, G.; Busawon, K.; Abbaszadeh, M.
• Is Part Of: Biomedical signal processing and control. Volume 55(2020)
• Publication Date: 2020-01
• Subjects: Acute inflammatory response -- Anti-inflammatory medication -- Anti-bacterial treatment -- Nonlinear H-infinity control -- Nonlinear optimal control -- Robust control -- Riccati equation -- Global stability; Signal processing -- Periodicals; Biomedical engineering -- Periodicals; Signal Processing, Computer-Assisted -- Periodicals; Image Processing, Computer-Assisted -- Periodicals; Biomedical Engineering -- Periodicals; 610.28
• DOI: 10.1016/j.bspc.2019.101631
• Languages: English
• ISSNs: 1746-8094

Abstract

Highlights: Optimal control of the infusion of anti-inflammatory and anti-bacterial medication is critical for achieving more effective and less costly pharmaceutical treatments. The model of the acute inflammatory response undergoes linearization around a temporary operating point which is computed at each iteration of the control algorithm. The linearization relies on Taylor series expansion and on the associated Jacobian matrices. To find the controller's feedback gains an algebraic Riccati equation is solved at each time-step of the control method. The stability properties of the control scheme are proven through Lyapunov analysis. Abstract: The article proposes a nonlinear optimal control approach for the dynamic model of the acute inflammatory response. This model describes the reaction of the human body to bacterial infection. Optimal control of the infusion of anti-inflammatory and anti-bacterial medication is critical for achieving more effective and less costly pharmaceutical treatments. To solve the related nonlinear optimal control problem the state-space description of the acute inflammatory response undergoes first approximate linearization around a temporary operating point which is recomputed at each iteration of the control algorithm. The linearization relies on Taylor series expansion and on the computation of the associated Jacobian matrices. For the approximately linearized model of the acute inflammatory response a stabilizing H-infinity feedback controller is designed. This controller stands for the solution of the optimal control problem under model uncertainties and external perturbations. To find the controller's feedback gains an algebraic Riccati equation is solved at each time-step of the control method. The stability properties of the control scheme are proven through Lyapunov analysis.