Predefined-time adaptive event-triggered control for nonlinear time-varying systems with full-state constraints and input saturation

In this paper, the problem of predefined-time adaptive event-triggered control of a class of nonlinear time-varying systems with full-state constraints and input saturation is investigated. By integrating the state-dependent function into the backstepping framework, the prerequisite feasibility assumption in traditional control methods is eliminated. Then, the challenges posed by unknown time-varying parameters and input saturation are handled through the introduction of auxiliary signals. Compared to existing studies, this paper proposes a unified adaptive event-triggered control framework that realizes the predefined-time steady-state control of time-varying systems under multiple constraints for the first time. The proposed control approach not only ensures the satisfactory control performance of the system but also significantly alleviates the transmission burden within the information channel. Finally, two simulation examples are presented to further demonstrate the effectiveness and practicality of the proposed control scheme.

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Publication Details

Journal
Transactions of the Institute of Measurement and Control
Published
2026-02-21
DOI
https://doi.org/10.1177/01423312261419579
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
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article

Predefined-time adaptive event-triggered control for nonlinear time-varying systems with full-state constraints and input saturation

Qingkun Yu, Xiqin He, Shuo Xu
Transactions of the Institute of Measurement and Control
Adaptive Control of Nonlinear Systems
article

Predefined-time adaptive event-triggered control for nonlinear time-varying systems with full-state constraints and input saturation

Qingkun Yu, Xiqin He, Shuo Xu
article en

Abstract

In this paper, the problem of predefined-time adaptive event-triggered control of a class of nonlinear time-varying systems with full-state constraints and input saturation is investigated. By integrating the state-dependent function into the backstepping framework, the prerequisite feasibility assumption in traditional control methods is eliminated. Then, the challenges posed by unknown time-varying parameters and input saturation are handled through the introduction of auxiliary signals. Compared to existing studies, this paper proposes a unified adaptive event-triggered control framework that realizes the predefined-time steady-state control of time-varying systems under multiple constraints for the first time. The proposed control approach not only ensures the satisfactory control performance of the system but also significantly alleviates the transmission burden within the information channel. Finally, two simulation examples are presented to further demonstrate the effectiveness and practicality of the proposed control scheme.

Transactions of the Institute of Measurement and Control
University of Science and Technology Liaoning (CN)
Openalex Percentile: Top 49%
Adaptive Control of Nonlinear Systems
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