Adaptive Control for Constrained Nonlinear Systems Under Deception Attacks and Actuator Saturation

Shixuan Zhang, Ping Zhao () and Muyu Li
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Shixuan Zhang: School of Information Science and Engineering, Shandong Normal University, Jinan 250014, China
Ping Zhao: School of Information Science and Engineering, Shandong Normal University, Jinan 250014, China
Muyu Li: School of Control Science and Engineering, Dalian University of Technology, Dalian 116024, China

Mathematics, 2025, vol. 13, issue 21, 1-18

Abstract: This paper proposes an adaptive control framework for constrained nonlinear systems subject to sensor and actuator deception attacks, in the presence of actuator saturation. To enforce state constraints under sensor attacks, a modified coordinate transformation is integrated with a barrier Lyapunov function (BLF) design, ensuring controller feasibility and constraint satisfaction even when state measurements are compromised. Moreover, the compounded effects of actuator saturation and actuator-side attacks are explicitly analyzed within a unified BLF framework, and an adaptive decoupling-compensation strategy is introduced to mitigate their influence. Simulation results demonstrate the effectiveness and robustness of the proposed approach.

Keywords: adaptive control; full-state constraints; actuator saturation; deception attacks (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2025
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