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http://dx.doi.org/10.12989/ose.2020.10.2.227

AI based control theory for interaction of ocean system  

Chen, C.Y.J. (Department of Civil Engineering, Universidade de Brasilia)
Hsieh, Chia-Yen (Special Education, National Kaohsiung Normal University)
Smith, Aiden (Faculty of Engineering, Universidad del Norte)
Alako, Dariush (Department of Natural Science, Bost University)
Pandey, Lallit (Applied Math Department, St. George's University)
Chen, Tim (AI Lab, Faculty of Information Technology, Ton Duc Thang University)
Publication Information
Ocean Systems Engineering / v.10, no.2, 2020 , pp. 227-241 More about this Journal
Abstract
This paper deals with the problem of the global stabilization for a class of tension leg platform (TLP) nonlinear control systems. Problem and objective: Based on the relaxed method, the chaotic system can be stabilized by regulating appropriately the parameters of dither. Scope and method: If the frequency of dither is high enough, the trajectory of the closed-loop dithered chaotic system and that of its corresponding model-the closed-loop fuzzy relaxed system can be made as close as desired. Results and conclusion: The behavior of the closed-loop dithered chaotic system can be rigorously predicted by establishing that of the closed-loop fuzzy relaxed system.
Keywords
intelligent control function; chaotic relaxed form; automated design;
Citations & Related Records
Times Cited By KSCI : 9  (Citation Analysis)
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