Secure PID Control For Cyber‐Physical Systems Against Joint Deception Attacks: An Unknown Input Observer Approach

ABSTRACT This article investigates secure proportional‐integral‐derivative (PID) control for cyber‐physical systems (CPSs) subject to joint deception attacks that randomly occur in both sensor‐observer (SO) and controller‐actuator (CA) channels. First, the attack model is established by two steps. The deception attack randomly occurring in the CA channel is treated as an additional unknown input (UI) and merged with the original UI to form a multiple UI. An output transformation technique is then applied to derive a new system output that can completely eliminate the deception attack in the SO channel. Next, an algebraic equation is developed to connect the system state with the multiple UI by using an interval observer. On this basis, an unknown input observer (UIO) is constructed to provide asymptotic estimates of both the system state and multiple UI. Subsequently, by employing the orthogonal decomposition approach, a compensation PID controller is developed, which can ensure the stability in the mean‐square sense of the considered CPS by defending against deception attacks in both channels. Finally, a practical quadruple‐tank system is used to demonstrate the effectiveness of the proposed approach.

Authors

Institutions

Publication Details

Journal
International Journal of Robust and Nonlinear Control
Published
2025-11-26
DOI
https://doi.org/10.1002/rnc.70270
Primary Topic
Smart Grid Security and Resilience
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Secure PID Control For Cyber‐Physical Systems Against Joint Deception Attacks: An Unknown Input Observer Approach

Suhuan Zhang, Fanglai Zhu
International Journal of Robust and Nonlinear Control
Smart Grid Security and Resilience
article

Secure PID Control For Cyber‐Physical Systems Against Joint Deception Attacks: An Unknown Input Observer Approach

Suhuan Zhang, Fanglai Zhu
article en

Abstract

ABSTRACT This article investigates secure proportional‐integral‐derivative (PID) control for cyber‐physical systems (CPSs) subject to joint deception attacks that randomly occur in both sensor‐observer (SO) and controller‐actuator (CA) channels. First, the attack model is established by two steps. The deception attack randomly occurring in the CA channel is treated as an additional unknown input (UI) and merged with the original UI to form a multiple UI. An output transformation technique is then applied to derive a new system output that can completely eliminate the deception attack in the SO channel. Next, an algebraic equation is developed to connect the system state with the multiple UI by using an interval observer. On this basis, an unknown input observer (UIO) is constructed to provide asymptotic estimates of both the system state and multiple UI. Subsequently, by employing the orthogonal decomposition approach, a compensation PID controller is developed, which can ensure the stability in the mean‐square sense of the considered CPS by defending against deception attacks in both channels. Finally, a practical quadruple‐tank system is used to demonstrate the effectiveness of the proposed approach.

International Journal of Robust and Nonlinear ControlVol. 36(5)
Tongji University (CN)
Openalex Percentile: Top 55%
Smart Grid Security and Resilience
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Secure PID Control For Cyber‐Physical Systems Against Joint Deception Attacks: An Unknown Input Observer Approach — Suhuan Zhang, Fanglai Zhu · International Journal of Robust and Nonlinear Control (2025) | TGRS Research Map | TGRS