Brockett Openness Profiles and Gain-Limited Feedback Stabilization

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Autori principali: Christopherson, Bryce, Jafari, Farhad
Natura: Preprint
Pubblicazione: 2026
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author Christopherson, Bryce
Jafari, Farhad
author_facet Christopherson, Bryce
Jafari, Farhad
contents Brockett's necessary condition asserts that a continuously stabilizable nonlinear control system must have a vector field that is open at the equilibrium. We show that the quantitative data behind this openness condition constrains the possible growth of stabilizing feedbacks. To a system vector field $f$, we associate its openness profile $Ω_f(r)=\sup\{ρ:\mathbb{B}_ρ(0)\subset f(\mathbb{B}_r(0,0))\}$, so that Brockett's condition becomes $Ω_f(r)>0$ for all sufficiently small $r>0$. If a feedback $u$ satisfies $\|u(x)\|\leq d(\|x\|)$, then the openness profile of the closed-loop field $F_u(x)=f(x,u(x))$ satisfies $Ω_{F_u}(r)\leq Ω_f\!\left(\sqrt{r^2+d(r)^2}\right)$. Consequently, any prescribed lower openness rate for the closed-loop dynamics yields a necessary lower bound on the feedback growth. For systems with $Ω_f(r)\lesssim r^q$, linear-rate closed-loop openness forces $d(r)\gtrsim r^{1/q}$, and this exponent is sharp in elementary polynomial examples. Thus Brockett's condition is not merely a binary topological obstruction; its quantitative profile governs gain requirements for stabilizing feedback.
format Preprint
id arxiv_https___arxiv_org_abs_2602_17847
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Brockett Openness Profiles and Gain-Limited Feedback Stabilization
Christopherson, Bryce
Jafari, Farhad
Optimization and Control
93D15, 93C10 (Primary), 34D20, 54C60 (Secondary)
Brockett's necessary condition asserts that a continuously stabilizable nonlinear control system must have a vector field that is open at the equilibrium. We show that the quantitative data behind this openness condition constrains the possible growth of stabilizing feedbacks. To a system vector field $f$, we associate its openness profile $Ω_f(r)=\sup\{ρ:\mathbb{B}_ρ(0)\subset f(\mathbb{B}_r(0,0))\}$, so that Brockett's condition becomes $Ω_f(r)>0$ for all sufficiently small $r>0$. If a feedback $u$ satisfies $\|u(x)\|\leq d(\|x\|)$, then the openness profile of the closed-loop field $F_u(x)=f(x,u(x))$ satisfies $Ω_{F_u}(r)\leq Ω_f\!\left(\sqrt{r^2+d(r)^2}\right)$. Consequently, any prescribed lower openness rate for the closed-loop dynamics yields a necessary lower bound on the feedback growth. For systems with $Ω_f(r)\lesssim r^q$, linear-rate closed-loop openness forces $d(r)\gtrsim r^{1/q}$, and this exponent is sharp in elementary polynomial examples. Thus Brockett's condition is not merely a binary topological obstruction; its quantitative profile governs gain requirements for stabilizing feedback.
title Brockett Openness Profiles and Gain-Limited Feedback Stabilization
topic Optimization and Control
93D15, 93C10 (Primary), 34D20, 54C60 (Secondary)
url https://arxiv.org/abs/2602.17847