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eess.SY2026

Implicit Predecessor-Based Region of Attraction Estimation and Robust Invariance Analysis for a Two-Wheeled Inverted Pendulum

Lorenzo Fici, Guillaume Ducard

Estimating the region of attraction (RoA) of nonlinear systems is fundamental for assessing closed-loop stability and ensuring safe operation. While Lyapunov-based approaches provi…

eess.SY2026

SOS-based Stability Verification for Saturated INDI Control of Hybrid-VTOL Aircraft Pitch Rate Dynamics

Dalim Wahby, Lorenzo Schenk, Guillaume Ducard

Incremental nonlinear dynamic inversion (INDI) is a prominent flight-control strategy valued for its robust disturbance rejection; however, its formal stability verification has tr…

eess.SY2026

Region of Attraction Estimation for Linear Quadratic Regulator, Linear and Robust Model Predictive Control on a Two-Wheeled Inverted Pendulum

Lorenzo Fici, Dalim Wahby, Alvaro Detailleur +2

Nonlinear underactuated systems such as two-wheeled inverted pendulums (TWIPs) exhibit a limited region of attraction (RoA), which defines the set of initial conditions from which…

eess.SY2025

Contributions to Semialgebraic-Set-Based Stability Verification of Dynamical Systems with Neural-Network-Based Controllers

Alvaro Detailleur, Dalim Wahby, Guillaume Ducard +1

Neural-network-based controllers (NNCs) can represent complex, highly nonlinear control laws, but verifying the closed-loop stability of dynamical systems using them remains challe…

eess.SY2025

Synthesis and SOS-based Stability Verification of a Neural-Network-Based Controller for a Two-wheeled Inverted Pendulum

Alvaro Detailleur, Dalim Wahby, Guillaume Ducard +1

This work newly establishes the feasibility and practical value of a sum of squares (SOS)-based stability verification procedure for applied control problems utilizing neural-netwo…

eess.SY2025

Improved Sum-of-Squares Stability Verification of Neural-Network-Based Controllers

Alvaro Detailleur, Guillaume Ducard, Christopher Onder

This work presents several improvements to the closed-loop stability verification framework using semialgebraic sets and convex semidefinite programming to examine neural-network-b…