Ocean Systems Engineering

Volume 10, Number 2, 2020, pages 227-241

DOI: 10.12989/ose.2020.10.2.227

AI based control theory for interaction of ocean system

C.-Y.J. Chen, Chia-Yen Hsieh, Aiden Smith, Dariush Alako, Lallit Pandey and Tim Chen

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.

Key Words

intelligent control function; chaotic relaxed form; automated design

Address

C.-Y.J. Chen: Department of Civil Engineering, Universidade de Brasília, Brasília, 70910-900 Distrito Federal, Brazil Chia-Yen Hsieh: Special Education, National Kaohsiung Normal University, Kaohsiung Aiden Smith: Faculty of Engineering, Universidad del Norte, Barranquilla, AA 1569 Atlantico, Colombia Dariush Alako: Department of Natural Science, Bost University, Lashkargah Helmand, Afghanistan Afghanistan Lallit Pandey: Applied Math Department, St. George\'s University, Grenada Tim Chen: AI Lab, Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh City, Vietnam