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Data-Driven Adaptive PID Control for Unknown Nonlinear Multi-Agent Systems with Input-Output Constraints

delete2026-05-05
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PRE
AI
Z
Zijing Yang
S
Shuangshuang Xiong *
Z
Zhongsheng Hou
DOI：10.1016/j.jfranklin.2026.108698delete
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Abstract

Abstract

En 中文
• A data-driven adaptive PID controller is proposed, requiring only I/O data to tune parameters online without any prior model. • Both input and output constraints are rigorously handled, with proofs for closed-loop stability and consistent tracking. • Stability is analyzed via the contraction mapping principle, offering an alternative to Lyapunov-based theory. • The effectiveness of the proposed adaptive PID is validated through comparative numerical simulations.
Keywords:
Adaptive PID Control
Data-Driven
Nonlinear Multi-Agent Systems
Input-Output Constraints
Closed-Loop Stability

Journal

J
Journal of the Franklin Institute
IF:
4.2
Papers:
812
Citations:
0

Organization

B
beijing information science and technology university
Scholars:
378
Papers: 156
Citations: 0
Q
qingdao university
Scholars:
5.0K
Papers: 1.5K
Citations: 0
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