PID Containment Control for Multiagent Systems With Multirate Measurements Under Sensor Resolution Constraints

This article investigates the proportional-integral-derivative (PID) containment control problem for a class of linear MAS with multirate measurements under the constraint of sensor resolution. The sensors of agents are classified into two distinct groups, characterized by their relatively fast and slow sampling periods. The concept of sensor resolution is introduced to quantify the ability of sensors to detect the smallest changes in information. A PID controller with an improved structure is proposed to achieve containment control, ensuring that follower agents remain within the convex hull formed by the leader agents. The closed-loop system is reformulated into a simplified representation, incorporating both sampling characteristics and communication topology. Sufficient conditions are then derived to guarantee the exponentially ultimate boundedness of the tracking error. Based on these conditions, an iterative algorithm is developed for computing the required controller gains. Finally, a simulation study, along with comparative analyses, is conducted to validate the effectiveness of the proposed approach.

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Publication Details

Journal
IEEE Internet of Things Journal
Published
2025-09-09
DOI
https://doi.org/10.1109/jiot.2025.3608094
Citations
2
Primary Topic
Advanced Control Systems Optimization
Type
article
Field-Weighted Citation Impact
2.43
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article

PID Containment Control for Multiagent Systems With Multirate Measurements Under Sensor Resolution Constraints

Yezheng Wang, Lei Zou, Hongli Dong, Fan Wang et al.
2 citations
IEEE Internet of Things Journal
Advanced Control Systems Optimization
2.43
article

PID Containment Control for Multiagent Systems With Multirate Measurements Under Sensor Resolution Constraints

Yezheng Wang, Lei Zou, Hongli Dong, Fan Wang, Zidong Wang
article en
2 citations

Abstract

This article investigates the proportional-integral-derivative (PID) containment control problem for a class of linear MAS with multirate measurements under the constraint of sensor resolution. The sensors of agents are classified into two distinct groups, characterized by their relatively fast and slow sampling periods. The concept of sensor resolution is introduced to quantify the ability of sensors to detect the smallest changes in information. A PID controller with an improved structure is proposed to achieve containment control, ensuring that follower agents remain within the convex hull formed by the leader agents. The closed-loop system is reformulated into a simplified representation, incorporating both sampling characteristics and communication topology. Sufficient conditions are then derived to guarantee the exponentially ultimate boundedness of the tracking error. Based on these conditions, an iterative algorithm is developed for computing the required controller gains. Finally, a simulation study, along with comparative analyses, is conducted to validate the effectiveness of the proposed approach.

IEEE Internet of Things JournalVol. 12(23)
Donghua University (CN), Nanjing University of Information Science and Technology (CN), Shandong University of Science and Technology (CN), Northeast Petroleum University (CN)
Openalex Percentile: Top 10%
Advanced Control Systems Optimization
2.43
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