Unifying Controller Design for Stabilizing Nonlinear Systems with Norm-Bounded Control Inputs

Fuente: arXiv
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Main Authors: Li, Ming, Sun, Zhiyong, Weiland, Siep
Format: Preprint
Published: 2024
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author Li, Ming
Sun, Zhiyong
Weiland, Siep
author_facet Li, Ming
Sun, Zhiyong
Weiland, Siep
contents This paper revisits a classical challenge in the design of stabilizing controllers for nonlinear systems with a norm-bounded input constraint. By extending Lin-Sontag's universal formula and introducing a generic (state-dependent) scaling term, a unifying controller design method is proposed. The incorporation of this generic scaling term gives a unified controller and enables the derivation of alternative universal formulas with various favorable properties, which makes it suitable for tailored control designs to meet specific requirements and provides versatility across different control scenarios. Additionally, we present a constructive approach to determine the optimal scaling term, leading to an explicit solution to an optimization problem, named optimization-based universal formula. The resulting controller ensures asymptotic stability, satisfies a norm-bounded input constraint, and optimizes a predefined cost function. Finally, the essential properties of the unified controllers are analyzed, including smoothness, continuity at the origin, stability margin, and inverse optimality. Simulations validate the approach, showcasing its effectiveness in addressing a challenging stabilizing control problem of a nonlinear system.
format Preprint
id arxiv_https___arxiv_org_abs_2403_03030
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Unifying Controller Design for Stabilizing Nonlinear Systems with Norm-Bounded Control Inputs
Li, Ming
Sun, Zhiyong
Weiland, Siep
Systems and Control
Artificial Intelligence
Optimization and Control
This paper revisits a classical challenge in the design of stabilizing controllers for nonlinear systems with a norm-bounded input constraint. By extending Lin-Sontag's universal formula and introducing a generic (state-dependent) scaling term, a unifying controller design method is proposed. The incorporation of this generic scaling term gives a unified controller and enables the derivation of alternative universal formulas with various favorable properties, which makes it suitable for tailored control designs to meet specific requirements and provides versatility across different control scenarios. Additionally, we present a constructive approach to determine the optimal scaling term, leading to an explicit solution to an optimization problem, named optimization-based universal formula. The resulting controller ensures asymptotic stability, satisfies a norm-bounded input constraint, and optimizes a predefined cost function. Finally, the essential properties of the unified controllers are analyzed, including smoothness, continuity at the origin, stability margin, and inverse optimality. Simulations validate the approach, showcasing its effectiveness in addressing a challenging stabilizing control problem of a nonlinear system.
title Unifying Controller Design for Stabilizing Nonlinear Systems with Norm-Bounded Control Inputs
topic Systems and Control
Artificial Intelligence
Optimization and Control
url https://arxiv.org/abs/2403.03030