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.
Authors
- Filippo Cacace (ORCID: https://orcid.org/0000-0003-1060-744X)
- Valerio Cusimano (ORCID: https://orcid.org/0000-0002-1965-9054)
- Alfredo Germani (ORCID: https://orcid.org/0000-0003-4457-8800)
- Massimiliano d’Angelo (ORCID: https://orcid.org/0000-0002-3017-3557)
Institutions
- Università Campus Bio-Medico (IT)
- University of L'Aquila (IT)
- National Research Council (IT)
- Istituto di Analisi dei Sistemi ed Informatica Antonio Ruberti (IT)
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
- Field-Weighted Citation Impact
- 0.00