Prescribed Performance Control for Multiple Parametric Strict Feedback Systems With Unknown Control Coefficients

This paper investigates the problem of prescribed performance control (PPC) for multiple parametric strict feedback (PSF) systems with unknown control coefficients in switching topologies. The synchronization error is regulated into the prescribed performance constraints within a user-given time, and agents’ outputs are synchronized accurately; furthermore, the results are independent of initial values. Compared with existing research with the same problem formulation, this paper investigates a more general case, reduces the communication load, and obtains a global result. The numerical simulations confirm the feasibility of the control algorithm presented.

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Publication Details

Journal
IEEE Transactions on Automation Science and Engineering
Published
2025-01-01
DOI
https://doi.org/10.1109/tase.2025.3582230
Primary Topic
Advanced Control Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
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article

Prescribed Performance Control for Multiple Parametric Strict Feedback Systems With Unknown Control Coefficients

Chao Huang, Junmin Peng, Xin Wang, Jianbo Li
IEEE Transactions on Automation Science and Engineering
Advanced Control Systems Optimization
article

Prescribed Performance Control for Multiple Parametric Strict Feedback Systems With Unknown Control Coefficients

Chao Huang, Junmin Peng, Xin Wang, Jianbo Li
article en

Abstract

This paper investigates the problem of prescribed performance control (PPC) for multiple parametric strict feedback (PSF) systems with unknown control coefficients in switching topologies. The synchronization error is regulated into the prescribed performance constraints within a user-given time, and agents’ outputs are synchronized accurately; furthermore, the results are independent of initial values. Compared with existing research with the same problem formulation, this paper investigates a more general case, reduces the communication load, and obtains a global result. The numerical simulations confirm the feasibility of the control algorithm presented.

IEEE Transactions on Automation Science and EngineeringVol. 22
Tongji University (CN), Railway Technical Research Institute (JP), Hunan University of Technology (CN)
National Natural Science Foundation of China, Natural Science Foundation of Hunan Province, Scientific Research Foundation of Hunan Provincial Education Department
Openalex Percentile: Top 84%
Advanced Control Systems Optimization
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Prescribed Performance Control for Multiple Parametric Strict Feedback Systems With Unknown Control Coefficients — Chao Huang, Junmin Peng, et al. · IEEE Transactions on Automation Science and Engineering (2025) | TGRS Research Map | TGRS