Abstract
This paper studies unknown input observer design for discrete-time Takagi-Sugeno fuzzy systems. The proposed unknown input observer has a new structure that can be applied to Takagi-Sugeno fuzzy systems with nonlinear output equation. We derive the design conditions of the proposed unknown input observer based on Lyapunov function and convert them into a set of linear matrix inequalities. Numerical simulations of a vehicle lateral dynamics are given to illustrate the effectiveness of the proposed method.
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Recommended by Associate Editor Jun Yoneyama under the direction of Editor Euntai Kim. This work was supported by the National Natural Science Foundation of China (61773145, 61502426) and the Funds from the National Defense Key Discipline of Space Exploration, Landing and Reentry in Harbin Institute of Technology under grant HIT.KLOF.2018.073.
Jitao Li received his combined B.S. degree from the Nanjing University of Aeronautics and Astronautics, Nanjing, China and the National Aerospace University Kharkiv Aviation Institute, Kharkiv, Ukraine in 2016. He is currently a Ph.D. candidate with the Department of Control Science and Engineering in Harbin Institute of Technology. His main research interests include state estimation and fault diagnosis.
Zhenhua Wang received his B.Sc. degree from Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2008 and his M.Sc. and Ph.D. degrees from Harbin Institute of Technology, Harbin, China, in 2010 and 2014, respectively. From 2016 to 2017, he was a visiting scholar in the University of Adelaide, Adelaide, Australia. He is currently with the Department of Control Science and Engineering at Harbin Institute of Technology. His research interests include fault diagnosis and fault-tolerant control.
Yi Shen received his B.S., M.S. and Ph.D. degrees from the Harbin Institute of Technology in 1985, 1988 and 1995, respectively. He is a Professor with the Department of Control Science and Engineering, Harbin Institute of Technology. His current research interests include fault diagnosis for control systems, flight vehicle control and ultrasound signal processing.
Yipeng Liu received the B.S. degree in automation from Harbin Institute of Technology, Harbin, China, in 2009, the M.S. degree and the Ph.D. degree both in control science and engineering from Harbin Institute of Technology, Harbin, China, in 2011 and 2015, respectively. He was a visiting scholar in Medical Physics from the University of Chicago, Chicago, USA, from 2012 to 2013. He is currently with college of information engineering at Zhejiang University of Technology, Hangzhou, China. His research interests include computational modeling and intelligent system.
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Li, J., Wang, Z., Shen, Y. et al. Unknown Input Observer Design for Takagi-Sugeno Systems with Fuzzy Output Equation. Int. J. Control Autom. Syst. 17, 267–272 (2019). https://doi.org/10.1007/s12555-018-0170-2
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DOI: https://doi.org/10.1007/s12555-018-0170-2