Nonlinear MIMO observable normal forms with output injection and output diffeomorphism

Jie Liu, Driss Boutat, Da-Yan Liu and Xue-Feng Zhang

Applied Mathematics and Computation, 2025, vol. 489, issue C

Abstract: This research note establishes a specific framework for transforming nonlinear multi-input and multi-output diffeomorphism systems into extended observable normal forms without using differential geometry techniques. For this purpose, the nonlinear MIMO systems whose nonlinear terms do not need to be Lipschitz, are proposed. First, a change of coordinates is designed to eliminate the square items and coupled items for each nonlinear dynamical subsystem. Second, coupled auxiliary dynamics are constructed to transform the nonlinear multi-input and multi-output diffeomorphism systems into extended observable normal forms such that the finite-time and robust step-by-step sliding mode observer can be applied. Then, the state variables for the considered nonlinear dynamical systems are estimated by using the inverse of the transformations. Finally, the validity of the proposed design methods is verified by two numerical examples.

Keywords: Multi-input and multi-output diffeomorphism nonlinear systems; Extended observable normal forms; Sliding mode observer (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:489:y:2025:i:c:s0096300324006350

DOI: 10.1016/j.amc.2024.129174

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