Work

Nonfragile Sliding Mode Control of Fractional‐Order Complex Networked Systems via Combination Event‐Triggered Approach

Year: 2025

Type: article

Abstract: ABSTRACT This work addresses the problem of developing a nonfragile sliding mode observer for fractional‐order complex networked systems (FO‐CNS) under stochastic network attacks. The proposed approach employs a combination of event‐triggered techniques. First, a nonfragile fractional‐order state observer is developed, enabling the design of a suitable sliding surface function. Next, a combination event‐triggered condition (CETC) is introduced, utilizing sampled error and sliding mode error vectors. For guaranteeing the stability of closed‐loop systems, sufficient conditions are derived by solving the linear matrix inequalities. Moreover, an improved self‐triggered condition is developed to avoid Zeno behavior. This condition relies on a predefined event‐triggered mechanism. The Gronwall–Bellman inequality is employed to determine a positive lower bound of the trigger sequence, ensuring the avoidance of infinite triggering within a finite time interval. Finally, two numerical simulations are provided to demonstrate the effectiveness and feasibility of the proposed method.

Source: International Journal of Robust and Nonlinear Control

DOI: 10.1002/rnc.8009

Authors: Xin Meng, Baoping Jiang, Hamid Reza Karimi

Institutions: Nanjing Tech University, Suzhou University of Science and Technology, Politecnico di Milano

Language: English

Topic: Stability and Control of Uncertain Systems

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: hybrid

Estimated APC paid: $4,270

Funders: National Natural Science Foundation of China, China Scholarship Council