Ignore Drift, Embrace Simplicity: Constrained Nonlinear Control through Driftless Approximation

Fuente: arXiv
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Main Authors: Padmanabhan, Ram, Ornik, Melkior
Format: Preprint
Published: 2025
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author Padmanabhan, Ram
Ornik, Melkior
author_facet Padmanabhan, Ram
Ornik, Melkior
contents We present a novel technique to drive a nonlinear system to reach a target state under input constraints. The proposed controller consists only of piecewise constant inputs, generated from a simple linear driftless approximation to the original nonlinear system. First, we construct this approximation using only the effect of the control input at the initial state. Next, we partition the time horizon into successively shorter intervals and show that optimal controllers for the linear driftless system result in a bounded error from a specified target state in the nonlinear system. We also derive conditions under which the input constraint is guaranteed to be satisfied. On applying the optimal control inputs, we show that the error monotonically converges to zero as the intervals become successively shorter, thus achieving arbitrary closeness to the target state with time. Using simulation examples on classical nonlinear systems, we illustrate how the presented technique is used to reach a target state while still satisfying input constraints. In particular, we show that our method completes the task even when assumptions of the underlying theory are violated or when classical linearization-based methods may fail.
format Preprint
id arxiv_https___arxiv_org_abs_2509_06188
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Ignore Drift, Embrace Simplicity: Constrained Nonlinear Control through Driftless Approximation
Padmanabhan, Ram
Ornik, Melkior
Optimization and Control
Systems and Control
We present a novel technique to drive a nonlinear system to reach a target state under input constraints. The proposed controller consists only of piecewise constant inputs, generated from a simple linear driftless approximation to the original nonlinear system. First, we construct this approximation using only the effect of the control input at the initial state. Next, we partition the time horizon into successively shorter intervals and show that optimal controllers for the linear driftless system result in a bounded error from a specified target state in the nonlinear system. We also derive conditions under which the input constraint is guaranteed to be satisfied. On applying the optimal control inputs, we show that the error monotonically converges to zero as the intervals become successively shorter, thus achieving arbitrary closeness to the target state with time. Using simulation examples on classical nonlinear systems, we illustrate how the presented technique is used to reach a target state while still satisfying input constraints. In particular, we show that our method completes the task even when assumptions of the underlying theory are violated or when classical linearization-based methods may fail.
title Ignore Drift, Embrace Simplicity: Constrained Nonlinear Control through Driftless Approximation
topic Optimization and Control
Systems and Control
url https://arxiv.org/abs/2509.06188