Articolo in rivista, 2023, ENG, 10.1016/j.ifacol.2023.10.635
M. Di Ferdinando and S. Di Gennaro and A. Borri and P. Pepe
Department of Information Engineering, Computer Science, and Mathematics, Center of Excellence DEWS, University of L'Aquila, Italy; Institute of Systems Analysis and Computer Science, National Research Council, Rome, Italy
In this paper, the stabilization problem of nonlinear time-delay systems via quantized sampled-data event-based controllers is investigated. Fully nonlinear (i.e., possibly non-affine in the control) systems affected by state delays are studied. Sufficient conditions are provided for the existence of a suitably fast sampling and of an accurate quantization of the input/output channels such that the digital implementation of the continuous-time controller at hand, updated through a proposed event-triggered mechanism, ensures the semi-global practical stability property, with arbitrarily small final target ball of the origin, of the related closed-loop system. A spline approximation methodology is used in order to cope with the problem of the possible non-availability in the buffer of suitable past values of the system variables needed for the digital implementation of the controller. The stabilization in the sample-and-hold sense theory is used as a tool to prove the results. In the theory here developed, the case of non-uniform quantization of the input/output channels and the case of aperiodic sampling are both included. The proposed theoretical results are validated through an application concerning the plasma glucose regulation problem in type-2 diabetic patients.
IFAC-PapersOnLine 56 (2), pp. 5969–5974
Quantized Sampled-Data Controllers, Event-triggered Control, Spline approximation, Nonlinear Time-Delay Systems, Stabilization in the Sample-and-Hold sense, Glucose-Insulin model
IASI – Istituto di analisi dei sistemi ed informatica "Antonio Ruberti"
ID: 489093
Year: 2023
Type: Articolo in rivista
Creation: 2023-11-28 11:38:50.000
Last update: 2023-12-10 22:44:50.000
CNR authors
External links
OAI-PMH: Dublin Core
OAI-PMH: Mods
OAI-PMH: RDF
DOI: 10.1016/j.ifacol.2023.10.635
URL: https://www.sciencedirect.com/science/article/pii/S2405896323010091
External IDs
CNR OAI-PMH: oai:it.cnr:prodotti:489093
DOI: 10.1016/j.ifacol.2023.10.635