Work

From Distributed Noisy Data to Event‐Triggered Pinning Observer‐Based Control

Year: 2026

Type: article

Abstract: ABSTRACT This paper presents an event‐triggered pinning observer‐based control of unknown large‐scale interconnected systems under false data injection attacks using distributed noisy data without any system identification step. An exogenous system is used to model the false data injection attack. Two event‐triggered mechanisms are introduced at the sensor and observer sides to reduce unnecessary computational resource consumption. The corresponding data representations are constructed for unknown systems subject to attacks. Under the framework of the data representation of unknown systems, an event‐triggered pinning extended observer‐based controller is designed. The global exponential stability of unknown systems is reached under the designed controller. Finally, an example of non‐isothermal continuous stirred tank reactors is provided to verify the effectiveness of the obtained results.

Source: CAAI Transactions on Intelligence Technology

DOI: 10.1049/cit2.70101

Authors: Xuan Jia, Junfeng Zhang, Haoyue Yang, Wei Xing

Institution: Hainan University

Language: English

Topic: Stability and Control of Uncertain Systems

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $2,760

Funders: National Natural Science Foundation of China, Natural Science Foundation of Hainan Province