Input Dexterity and Output Negotiation in Feedback-Linearizable Nonlinear Systems

Fuente: arXiv
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Auteurs principaux: Mizzoni, Mirko, van Goor, Pieter, Bazzana, Barbara, Franchi, Antonio
Format: Preprint
Publié: 2026
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author Mizzoni, Mirko
van Goor, Pieter
Bazzana, Barbara
Franchi, Antonio
author_facet Mizzoni, Mirko
van Goor, Pieter
Bazzana, Barbara
Franchi, Antonio
contents We introduce a task-relative taxonomy of actuator inputs for nonlinear systems within the input-output feedback-linearization framework. Given a flat output specifying the task, inputs are classified as essential, redundant, or dexterity: essential inputs are required for exact linearization, redundant inputs can be removed without effect, and dexterity inputs can be deactivated while preserving exact linearization of a reduced task. We show that a subset is dexterity if and only if, under a suitable dynamic prolongation, it can appear as additional output channels (flat-input complement) on a common validity set. Whenever a family of systems obtained by (de)activating dexterity inputs admits a common prolongation, the family can be interpreted as a single prolonged system endowed with different output selections. This enables a unified linearizing controller that negotiates between full and reduced tasks without transients on shared outputs under compatibility and dwell-time conditions. Simulations on a fully actuated aerial platform illustrate graceful task downgrades from six-dimensional pose tracking as lateral-force channels are deactivated.
format Preprint
id arxiv_https___arxiv_org_abs_2603_08480
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Input Dexterity and Output Negotiation in Feedback-Linearizable Nonlinear Systems
Mizzoni, Mirko
van Goor, Pieter
Bazzana, Barbara
Franchi, Antonio
Systems and Control
Dynamical Systems
We introduce a task-relative taxonomy of actuator inputs for nonlinear systems within the input-output feedback-linearization framework. Given a flat output specifying the task, inputs are classified as essential, redundant, or dexterity: essential inputs are required for exact linearization, redundant inputs can be removed without effect, and dexterity inputs can be deactivated while preserving exact linearization of a reduced task. We show that a subset is dexterity if and only if, under a suitable dynamic prolongation, it can appear as additional output channels (flat-input complement) on a common validity set. Whenever a family of systems obtained by (de)activating dexterity inputs admits a common prolongation, the family can be interpreted as a single prolonged system endowed with different output selections. This enables a unified linearizing controller that negotiates between full and reduced tasks without transients on shared outputs under compatibility and dwell-time conditions. Simulations on a fully actuated aerial platform illustrate graceful task downgrades from six-dimensional pose tracking as lateral-force channels are deactivated.
title Input Dexterity and Output Negotiation in Feedback-Linearizable Nonlinear Systems
topic Systems and Control
Dynamical Systems
url https://arxiv.org/abs/2603.08480