Observer-Based Decentralized Adaptive Control of Interconnected Nonlinear Systems With Output/Input Triggering

In this article, a double-channel event-triggered control method is developed for nonlinear uncertain interconnected systems using backstepping techniques, which introduces event-triggering mechanisms at both the sensor and controller sides. Using event-triggering mechanism at the sensor side presents a challenge to the backstepping control design as the discontinuous state/output signals received at the controller side result in nondifferentiable virtual control signals. This challenge becomes more pronounced when considering more general types of event-triggering mechanisms. Compared with existing methods, this article proposes a different idea with three innovative features: 1) the proposed event-triggering mechanism does not require the calculation of virtual control signals at the sensor side before transmitting them to the controller side; 2) the output triggering is considered directly, and there is no need to design separate controllers for the two communication scenarios without and with event-triggering, thereby avoiding the effect of errors caused by processing substitutions; and 3) it necessitates the online update of only one parameter estimator, avoiding the issue of over-parameterization. Finally, we validate the effectiveness and advantages of the proposed decentralized event-triggered control approach through a numerical case study.

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Institutions

Publication Details

Journal
IEEE Transactions on Cybernetics
Published
2025-03-11
DOI
https://doi.org/10.1109/tcyb.2025.3545279
Citations
6
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
7.29

Funders

Controls
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article

Observer-Based Decentralized Adaptive Control of Interconnected Nonlinear Systems With Output/Input Triggering

Pétros Ioannou, Yongduan Song, Xiaoyuan Zheng, Long Chen et al.
6 citations
IEEE Transactions on Cybernetics
Adaptive Control of Nonlinear Systems
7.29
article

Observer-Based Decentralized Adaptive Control of Interconnected Nonlinear Systems With Output/Input Triggering

Pétros Ioannou, Yongduan Song, Xiaoyuan Zheng, Long Chen, Zhirong Zhang
article en
6 citations

Abstract

In this article, a double-channel event-triggered control method is developed for nonlinear uncertain interconnected systems using backstepping techniques, which introduces event-triggering mechanisms at both the sensor and controller sides. Using event-triggering mechanism at the sensor side presents a challenge to the backstepping control design as the discontinuous state/output signals received at the controller side result in nondifferentiable virtual control signals. This challenge becomes more pronounced when considering more general types of event-triggering mechanisms. Compared with existing methods, this article proposes a different idea with three innovative features: 1) the proposed event-triggering mechanism does not require the calculation of virtual control signals at the sensor side before transmitting them to the controller side; 2) the output triggering is considered directly, and there is no need to design separate controllers for the two communication scenarios without and with event-triggering, thereby avoiding the effect of errors caused by processing substitutions; and 3) it necessitates the online update of only one parameter estimator, avoiding the issue of over-parameterization. Finally, we validate the effectiveness and advantages of the proposed decentralized event-triggered control approach through a numerical case study.

IEEE Transactions on CyberneticsVol. 55(5)
University of Southern California (US), Chongqing University (CN), Hebei University of Technology (CN), University of Macau (MO)
National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 3%
Adaptive Control of Nonlinear Systems
7.29
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