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Research Article | Open Access

Geometric enforcing of sequential convergence in fixed-time stability: An anisotropic vector field approach

Xiaotian Liang1,2, Yanbo Wang3, Lei Yang3, Hui Cao1,2, Shuangsi Xue1,2( )
National Key Laboratory for High Energy Pulsed Power, Xi'an Jiaotong University, Xi'an 710048, China
School of Electrical Engineering, Xi'an Jiaotong University, Xi'an 710049, China
School of Automation and Information Engineering, Xi'an University of Technology, Xi'an 710048, China
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Abstract

This paper addresses the problem of enforcing a strict temporal sequence on the convergence of state components in affine nonlinear systems. Unlike standard finite-time stabilization, where states converge synchronously or in an arbitrary order, we propose a geometric framework that shapes the phase-space trajectories into a prespecified topological hierarchy. We introduce an anisotropic weighted sign operator that renders the closed-loop system fixed-time stable while imposing an invariant order on the hitting times of the coordinate axes. An explicit nonasymptotic settling-time bound and a sufficient disturbance-rejection condition are derived, and the controller is extended to generic affine nonlinear dynamics via input–output feedback linearization. To accommodate unmodelled perturbations, a projected residual actor–critic policy is added on top of the baseline; we prove via a composite Lyapunov argument that, provided that the residual field is confined within a state-dependent descent cone, both fixed-time stability and sequential ordering are preserved. The framework is validated on a three-dimensional integrator benchmark and on a rigid-body spacecraft attitude case study with a 20% inertia mismatch.

CLC number: 93D40, 93C10, 93C40

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AIMS Mathematics
Pages 21385-21411

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Cite this article:
Liang X, Wang Y, Yang L, et al. Geometric enforcing of sequential convergence in fixed-time stability: An anisotropic vector field approach. AIMS Mathematics, 2026, 11(7): 21385-21411. https://doi.org/10.3934/math.2026867

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Received: 17 March 2026
Revised: 28 May 2026
Accepted: 24 June 2026
Published: 15 July 2026
©2026 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)