Data-driven Lyapunov-based synthesis of feedback controllers for nonlinear systems
Year: 2026
Type: article
Abstract: Two optimization problems to design stabilizing controllers for nonlinear systems are proposed based on the well-known Lyapunov stability theory. These are coupled with system identification and nonlinear observer design tools in order to deal with unknown dynamics and unavailability of full-state measurements. Moreover, attempts of introducing desired robustness and performance properties to enforce to the control system are discussed. Numerical simulations are given in order to validate the overall approach.
Author: Gismondi, Francesco
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7147706502
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