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International Journal of Systems Science Volume 50, 2019 - Issue 14
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Articles

A novel on-line OCID method and its application to input-constrained active fault-tolerant tracker design for unknown nonlinear systems

Jason Sheng-Hong Tsaia Department of Electrical Engineering, National Cheng-Kung University, Tainan, Taiwan, Republic of ChinaCorrespondence[email protected]
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Tzu-Hsien Yua Department of Electrical Engineering, National Cheng-Kung University, Tainan, Taiwan, Republic of ChinaView further author information
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Te Jen Sub Department of Electronic Engineering, National Kaohsiung University of Sciences and Technology, Kaohsiung City, Taiwan, Republic of China;c Kaohsiung Medical University, Kaohsiung City, Taiwan, Republic of ChinaCorrespondence[email protected]
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Shu-Mei Guod Department of Computer Science and Information Engineering, National Cheng-Kung University, Tainan, Taiwan, Republic of ChinaView further author information
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Leang-San Shiehe Department of Electrical and Computer Engineering, University of Houston, Houston, TX, USAView further author information
&
Jose I. Canelonf Electrical Engineering School, Universidad del Zulia, Maracaibo, VenezuelaView further author information
Pages 2632-2662 | Received 15 Oct 2018, Accepted 18 Sep 2019, Published online: 14 Oct 2019

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Jiyang Jia, Jie Lan, Yan-Jun Liu & Lei Liu. (2023) Disturbance observer-based adaptive neural network FTC for a class of nonlinear MASs with an estimated efficiency factor. International Journal of Systems Science 54:4, pages 751-767.
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Jason Sheng-Hong Tsai, Li-Ya Kuo, Shu-Mei Guo, Leang-San Shieh & Jose I. Canelon. (2019) Application of the observer/Kalman filter identification method to unknown time-delay disturbed systems and the associated optimal digital tracker design. International Journal of Systems Science 50:16, pages 2935-2961.
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