LMI Design Procedure for Incremental Input/Output-to-State Stability in Nonlinear Systems

• Published in: IEEE control systems letters Vol. 7; pp. 3403 - 3408
• Main Authors: Arezki, H., Zemouche, A., Alessandri, A., Bagnerini, P.
• Format: Journal Article
• Language: English
• Published: IEEE 01.01.2023
• Subjects: Design methodology; Engineering Sciences; Estimation; Incremental input/output-to-state stability (i-EIOSS); Jacobian matrices; Linear matrix inequalities; LMI approach; Lyapunov functions; Lyapunov methods; observer design; Stability analysis; Tuning; Incremental input/output-to-state stability (i-EIOSS); Lyapunov functions; LMI approach; observer design
• ISSN: 2475-1456; 2475-1456
• DOI: 10.1109/LCSYS.2023.3331684

This letter deals with the investigation of an important property that characterizes the detectability of nonlinear systems, namely the incremental Exponential Input/Output-to-State Stability (i-EIOSS). While such a property is easy to check for linear systems, for nonlinear systems it is a hard task. On the other hand, the i-EIOSS property is well-suited for the development of robust estimators. In this letter, we propose a novel numerical design procedure ensuring the computation of the i-EIOSS-related coefficients which are necessary to tune the parameters of the robust estimators. We first introduce a general simple but useful Lyapunov-based method, then we develop a new Linear Matrix Inequality (LMI) condition guaranteeing the computation of the i-EIOSS coefficients. The proposed design method is easily tractable by numerical software and may be used for several real-world applications. Compared to the existing literature, the proposed method is simpler, provides a finite number of LMIs to be solved, and does not need to convert the system into a new one with linear outputs leading to LMI conditions.