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Practical Prescribed-Time Rigid Formation Maneuvering Control Under Performance Constraints

delete2026-04-21
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PRE
AI
Z
Zheng Zhou
Y
Yueqiang Wang
D
Dongfang Yang
F
Fan Ren
王玉娟 (Yujuan Wang)
DOI:10.1109/tie.2026.3679806delete
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Abstract

Abstract

En 中文
This article addresses the formation maneuvering control problem for multi-agent systems (MASs) by proposing a practical prescribed-time formation control scheme based on finite time-varying scaling functions. The approach employs time-scale transformation and state conversion techniques to coordinately regulate the convergence rate and precision of distance errors, ensuring specified accuracy is achieved within the prescribed time while maintaining rigidity-based formation errors within predefined performance boundaries. The developed method possesses a unique converging feature in that the distance errors first converge to a small adjustable residual set around zero within a prescribed finite time, and then asymptotically converge to zero (or to an adjustable bound). It features a dual-regulation mechanism that enables flexible configuration of formation error magnitude through coordinated parameter tuning of time-varying scaling functions and prescribed performance functions. Simultaneously, while guaranteeing convergence accuracy and transient performance, the control algorithm maintains safe inter-agent distances to achieve collision avoidance and connectivity preservation. Simulation and experimental results demonstrate that the proposed protocol enables MASs to synchronously track time-varying velocities while preserving rigidity-based formation configurations within the prescribed time, validating its comprehensive advantages in precision, transient performance, and safety assurance.
Keywords:
Decentralize control
multi-agent systems (MASs)
prescribed performance control (PPC)
prescribed-time control

Journal

IEEE Transactions on Industrial Electronics cover
IEEE Transactions on Industrial Electronics
IF:
7.2
Papers:
1.8W
Citations:
9.8W

Organization

C
chongqing changan automobile company ltd.
Scholars:
4
Papers: 3
Citations: 0
C
chongqing university
Scholars:
1.0W
Papers: 3.9K
Citations: 1
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