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Automatika : časopis za automatiku, mjerenje, elektroniku, računarstvo i komunikacije, Vol. 63 No. 1, 2022.

Izvorni znanstveni članak

https://doi.org/10.1080/00051144.2021.2003113

Decentralized robust interval type-2 fuzzy model predictive control for Takagi–Sugeno large-scale systems

Mohammad Sarbaz ; Electrical and Electronic Engineering Department, Shahed University, Tehran, Iran
Iman Zamani ; Electrical and Electronic Engineering Department, Shahed University, Tehran, Iran
Mohammad Manthouri ; Electrical and Electronic Engineering Department, Shahed University, Tehran, Iran
Asier Ibeas ; Departament de Telecomunicació i Enginyeria de Sistemes, Escolad’Enginyeria, Universitat Autònoma de Barcelona, Barcelona, Spain

Puni tekst: engleski pdf 2.198 Kb

str. 49-63

preuzimanja: 59

citiraj

Sažetak

Here, decentralized robust interval type-2 (IT2) fuzzy model predictive control (MPC) for Takagi–Sugeno (T-S) large-scale systems is studied. The large-scale system consists of many IT2 fuzzy T–S subsystems. Important necessities that limit the practical application of MPC are the online computational cost and burden of the frameworks. For MPC of T–S fuzzy large-scale systems, the online computational burden is even worse, and in some cases, they cannot be solved timely. Especially for severe, large-scale systems with disturbances, the MPC of T–S fuzzy large-scale systems usually give a conservative solution. So, researchers have many challenges and in finding a reasonable solution in a short time. Although more comfortable results can be achieved by the proposed fuzzy MPC approach, which adopts T–S large-scale systems with nonlinear subsystems, many restrictions are not considered. In this paper, challenges are solved, and the MPC is designed for a nonlinear IT2 fuzzy large-scale system with uncertainties and disturbances. Besides, the online optimization problem is solved, and results are proposed. Consequently, the online computational cost of the optimization problem is reduced considerably. Finally, the effectiveness of the proposed algorithm is illustrated with two practical examples.

Ključne riječi

Large-scale systems; Interval type-2 fuzzy Takagi–Sugeno systems; Model predictive control

Hrčak ID:

286633

URI

https://hrcak.srce.hr/286633

Datum izdavanja:

26.12.2021.

Posjeta: 169 *