Minimum‐Time Output Control by Reference Interpolation for Linear Multivariable Systems

ABSTRACT For linear multivariable systems, we consider the minimum‐time output control problem with explicit constraints on the inputs' intensity and piecewise‐constant controls. We face the problem by imposing that each output passes through a given set of points. The proposed solution consists in repeatedly solving a system of linear equations until all constraints on inputs' intensity are satisfied. The proof of a local inverse relationship between the control effort and the control time is given, which provides a convergence guarantee for the algorithm. Numerical simulations performed on a well‐known benchmark are reported to assess the effectiveness of the proposed method.

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Publication Details

Journal
IET Control Theory and Applications
Published
2025-01-01
DOI
https://doi.org/10.1049/cth2.70054
Primary Topic
Iterative Learning Control Systems
Type
article
Field-Weighted Citation Impact
0.00

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Controls
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article

Minimum‐Time Output Control by Reference Interpolation for Linear Multivariable Systems

Luigi D’Alfonso, Giuseppe Fedele, Paolo Pugliese
IET Control Theory and Applications
Iterative Learning Control Systems
article

Minimum‐Time Output Control by Reference Interpolation for Linear Multivariable Systems

Luigi D’Alfonso, Giuseppe Fedele, Paolo Pugliese
article en

Abstract

ABSTRACT For linear multivariable systems, we consider the minimum‐time output control problem with explicit constraints on the inputs' intensity and piecewise‐constant controls. We face the problem by imposing that each output passes through a given set of points. The proposed solution consists in repeatedly solving a system of linear equations until all constraints on inputs' intensity are satisfied. The proof of a local inverse relationship between the control effort and the control time is given, which provides a convergence guarantee for the algorithm. Numerical simulations performed on a well‐known benchmark are reported to assess the effectiveness of the proposed method.

IET Control Theory and ApplicationsVol. 19(1)
University of Calabria (IT)
Università della Calabria
Openalex Percentile: Top 75%
Iterative Learning Control Systems
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