This work presents a general methodology to de sign Proportional-Integral (PI) controllers for negative feedback physiological control systems (NFPCS). It is shown that the resulting closed-loop system preserves the NFPCS structure and admits a unique equilibrium point. A local linearization around the equilibrium is then employed to derive general gains selection criteria guaranteeing closed-loop stability and convergence to the healthy physiological state. The proposed methodology is validated on the insulin-glucose regulatory system, where the proposed PI controller is able to drive the system back to the desired physiological equilibrium after a perturbation, achieving zero steady-state error.

Closed-loop Proportional-Integral Control of Physiological Systems / Granata, R., Erzingher, L., Russo, M., Cosentino, C., Amato, F., Romano, M., Ponsiglione, A.M.. - (2026), pp. 281-287. (2026 12th International Conference on Control, Decision and Information Technologies (CoDIT 2026 Bari (Italy) 13-16 luglio 2026) [10.1109/codit70676.2026.11631127].

Closed-loop Proportional-Integral Control of Physiological Systems

Granata, Rita;Erzingher, Luisa;Russo, Michela;Amato, Francesco;Romano, Maria;Ponsiglione, Alfonso Maria
2026

Abstract

This work presents a general methodology to de sign Proportional-Integral (PI) controllers for negative feedback physiological control systems (NFPCS). It is shown that the resulting closed-loop system preserves the NFPCS structure and admits a unique equilibrium point. A local linearization around the equilibrium is then employed to derive general gains selection criteria guaranteeing closed-loop stability and convergence to the healthy physiological state. The proposed methodology is validated on the insulin-glucose regulatory system, where the proposed PI controller is able to drive the system back to the desired physiological equilibrium after a perturbation, achieving zero steady-state error.
2026
Closed-loop Proportional-Integral Control of Physiological Systems / Granata, R., Erzingher, L., Russo, M., Cosentino, C., Amato, F., Romano, M., Ponsiglione, A.M.. - (2026), pp. 281-287. (2026 12th International Conference on Control, Decision and Information Technologies (CoDIT 2026 Bari (Italy) 13-16 luglio 2026) [10.1109/codit70676.2026.11631127].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/1060854
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