Sliding Mode Fuzzy Control of Stochastic Nonlinear Systems Under Cyber-Attacks

In this article, the problem of integral sliding mode control (ISMC) for a class of nonlinear systems with stochastic characteristics under cyber-attack is investigated. The control system and the cyber-attack are modeled as an Itô-type stochastic differential equation. The stochastic nonlinear systems are approached by the Takagi-Sugeno fuzzy model. A dynamic ISMC scheme is applied and the states and control input are analyzed within a universal dynamic model. It is demonstrated that trajectory of the system can be confined to the integral sliding surface within finite time, and the stability of closed-loop system under cyber-attack will be guaranteed by using a set of linear matrix inequalities. Following a standard procedure of universal fuzzy ISMC, it is shown that all signals in the closed-loop system will be guaranteed bounded, and the states are asymptotic stochastic stable if some conditions are met. An inverted pendulum is applied to show the effectiveness of our control scheme.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:54

Enthalten in:

IEEE transactions on cybernetics - 54(2024), 5 vom: 30. Apr., Seite 3174-3182

Sprache:

Englisch

Beteiligte Personen:

Yang, Yue [VerfasserIn]
Wen, Baoyu [VerfasserIn]
Su, Xiaojie [VerfasserIn]
Huang, Jiangshuai [VerfasserIn]
Liu, Biao [VerfasserIn]

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Volltext

Themen:

Journal Article

Anmerkungen:

Date Revised 17.04.2024

published: Print-Electronic

Citation Status PubMed-not-MEDLINE

doi:

10.1109/TCYB.2023.3287029

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM35929684X