Prescribed-Time Control of Disturbed Systems With State and Input Constraints

Practical control applications frequently require state and input constraints. Even more, certain applications may require the controller to fit with a strict time scheduling. In this context, this article proposes a control scheme that ensures convergence to the origin in prescribed-time for both linear controllable systems and nonlinear systems in the normal form, under nonvanishing disturbances. In this, the settling time is an explicit parameter given by the designer. Moreover, a planning algorithm is introduced for linear systems to efficiently compute a settling time, close to a desired settling time, so the resulting trajectory satisfies required state and input constraints.

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Publication Details

Journal
IEEE Transactions on Automatic Control
Published
2024-08-05
DOI
https://doi.org/10.1109/tac.2024.3438329
Citations
4
Primary Topic
Advanced Control Systems Optimization
Type
article
Field-Weighted Citation Impact
1.31
Controls
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article

Prescribed-Time Control of Disturbed Systems With State and Input Constraints

Carlos Renato Vázquez
4 citations
IEEE Transactions on Automatic Control
Advanced Control Systems Optimization
1.31
article

Prescribed-Time Control of Disturbed Systems With State and Input Constraints

Carlos Renato Vázquez
article en
4 citations

Abstract

Practical control applications frequently require state and input constraints. Even more, certain applications may require the controller to fit with a strict time scheduling. In this context, this article proposes a control scheme that ensures convergence to the origin in prescribed-time for both linear controllable systems and nonlinear systems in the normal form, under nonvanishing disturbances. In this, the settling time is an explicit parameter given by the designer. Moreover, a planning algorithm is introduced for linear systems to efficiently compute a settling time, close to a desired settling time, so the resulting trajectory satisfies required state and input constraints.

IEEE Transactions on Automatic ControlVol. 70(1)
Tecnológico de Monterrey (MX)
Climate action
Openalex Percentile: Top 20%
Advanced Control Systems Optimization
1.31
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