Global Exponential Stability for Discrete-Time Nonlinear Systems Using SDC Parametrization

Since the mid-1990s, State-Dependent Riccati Equation (SDRE) strategies have gained prominence as systematic and effective methodologies for designing nonlinear controllers, observers, and filters. These approaches address many of the limitations inherent in traditional techniques while offering computationally efficient algorithms that have demonstrated remarkable success across a wide range of practical and impactful applications. In this paper, we leverage the State-Dependent-Coefficient (SDC) parametrization to establish a novel global asymptotic (and exponential) stability result for discrete-time nonlinear systems with a controllable SDC representation. The proof is based on geometrical tools and spectral decompositions. Numerical simulations validate the results.

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Publication Details

Journal
IEEE Control Systems Letters
Published
2025-01-01
DOI
https://doi.org/10.1109/lcsys.2025.3578500
Primary Topic
Advanced Control Systems Optimization
Type
article
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article

Global Exponential Stability for Discrete-Time Nonlinear Systems Using SDC Parametrization

Filippo Cacace, Valerio Cusimano, Alfredo Germani, Massimiliano d’Angelo
IEEE Control Systems Letters
Advanced Control Systems Optimization
article

Global Exponential Stability for Discrete-Time Nonlinear Systems Using SDC Parametrization

Filippo Cacace, Valerio Cusimano, Alfredo Germani, Massimiliano d’Angelo
article en

Abstract

Since the mid-1990s, State-Dependent Riccati Equation (SDRE) strategies have gained prominence as systematic and effective methodologies for designing nonlinear controllers, observers, and filters. These approaches address many of the limitations inherent in traditional techniques while offering computationally efficient algorithms that have demonstrated remarkable success across a wide range of practical and impactful applications. In this paper, we leverage the State-Dependent-Coefficient (SDC) parametrization to establish a novel global asymptotic (and exponential) stability result for discrete-time nonlinear systems with a controllable SDC representation. The proof is based on geometrical tools and spectral decompositions. Numerical simulations validate the results.

IEEE Control Systems LettersVol. 9
Università Campus Bio-Medico (IT), University of L'Aquila (IT), National Research Council (IT), Istituto di Analisi dei Sistemi ed Informatica Antonio Ruberti (IT)
Openalex Percentile: Top 86%
Advanced Control Systems Optimization
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Global Exponential Stability for Discrete-Time Nonlinear Systems Using SDC Parametrization — Filippo Cacace, Valerio Cusimano, et al. · IEEE Control Systems Letters (2025) | TGRS Research Map | TGRS