Web of Science: 10 cites, Scopus: 9 cites, Google Scholar: cites
Hierarchical Optimization-Based Model Predictive Control for a Class of Discrete Fuzzy Large-Scale Systems Considering Time-Varying Delays and Disturbances
Sarbaz, Mohammad (Shahed University. Electrical and Electronic Engineering Department)
Zamani, Iman (Shahed University. Electrical and Electronic Engineering Department)
Manthouri, Mohammad (Shahed University. Electrical and Electronic Engineering Department)
Ibeas, Asier (Universitat Autònoma de Barcelona. Departament de Telecomunicació i Enginyeria de Sistemes)

Data: 2022
Resum: In this manuscript, model predictive control for class of discrete fuzzy large-scale systems subjected to bounded time-varying delay and disturbances is studied. The considered method is Razumikhin for time-varying delay large-scale systems, in which it includes a Lyapunov function associated with the original non-augmented state space of system dynamics in comparison with the Krasovskii method. As a rule, the Razumikhin method has a perfect potential to avoid the inherent complexity of the Krasovskii method especially in the presence of large delays and disturbances. The considered large-scale system in this manuscript is decomposed into several subsystems, each of which is represented by a fuzzy Takagi-Sugeno (TS) model and the interconnection between any two subsystems is considered. Because the main section of the model predictive control is optimization, the hierarchical scheme is performed for the optimization problem. Furthermore, persistent disturbances are considered that robust positive invariance and input-to-state stability under such circumstances are studied. The linear matrix inequalities (LMIs) method is performed for our computations. So the closed-loop large-scale system is asymptotically stable. Ultimately, by two examples, the effectiveness of the proposed method is illustrated, and a comparison with other papers is made by remarks.
Nota: Altres ajuts: acords transformatius de la UAB
Drets: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original. Creative Commons
Llengua: Anglès
Document: Article ; recerca ; Versió publicada
Matèria: Time-varying delay ; Large-scale systems ; Model predictive control ; Hierarchical optimization ; Input-to-state stability ; Lyapunov-Razumikhin ; Fuzzy Takagi-Sugeno systems
Publicat a: International Journal of Fuzzy Systems, Vol. 24 (June 2022) , p. 2107-2130, ISSN 2199-3211

DOI: 10.1007/s40815-021-01217-4


24 p, 2.5 MB

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 Registre creat el 2022-04-20, darrera modificació el 2025-04-06



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