A novel intelligent control of discrete-time nonlinear systems in the presence of output saturation.

Xuejun Zhou, Ying Dai, Ebrahim Ghaderpour, Ardashir Mohammadzadeh, Pierpaolo D'Urso

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Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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5 authors.

Xuejun ZhouCollege of Physics and Electronic Information, Yan'an University, Yan'an, 716000, Shaanxi, China.

Ying DaiSchool of Architecture and Civil Engineering, Shenyang University of Technology, Shenyang, 110870, Liaoning, China.

Ebrahim GhaderpourDepartment of Earth Sciences, Sapienza University of Rome, 00185, Rome, Italy.

Ardashir MohammadzadehDepartment of Electrical and Electronics Engineering, Sakarya University, 54050, Sakarya, Türkiye.

Pierpaolo D'UrsoDepartment of Social Sciences and Economics, Sapienza University of Rome, 00185, Rome, Italy.

Funding

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6 · The paper itself

Abstract

In this paper, a model free control method for a class of discrete time nonlinear systems is introduced. A type-3 fuzzy system estimates the unknown parameters required by the control system. The control system only uses the input and output data of the plant and therefore does not need to know its mathematical equations. On the other hand, the phenomenon of output saturation is a challenging problem for all control systems, addressed in detail in the proposed method. The convergence of the proposed method is guaranteed, and the control system is very robust in the face of changes in the dynamics of the plant. The simulation results on discrete-time nonlinear systems show that the proposed method is very accurate despite the high speed of convergence. In addition, the proposed method is robust for modeling uncertainties and has a better root mean square error and step response time compared to the other methods. Also, a comparison has been made between type-1 to type-3 fuzzy systems and control system based on trial and error, which shows firstly the importance of the presence of fuzzy system and secondly the superiority of type-3 fuzzy system compared to the other two types.

Indexed as

Convergence analysisDiscrete-time nonlinear systemsOutput saturationType-3 fuzzy system

Identifiers

PMID39397961

DOI10.1016/j.heliyon.2024.e38279

PMCPMC11467546

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