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Towards robust fault detection for Takagi-Sugeno nonlinear systems.
Li, Jitao; Fang, Xu; Zhang, Zhihao; Wang, Yujia; Liu, Xing; Zhang, Mingjun.
Affiliation
  • Li J; College of Mechanical and Electrical Engineering, Harbin Engineering University, 150001, PR China. Electronic address: jitaoli@hrbeu.edu.cn.
  • Fang X; School of Electrical and Electronic Engineering, Nanyang Technological University, 639798, Singapore. Electronic address: xu.fang@ntu.edu.sg.
  • Zhang Z; School of Mechanical and Information Engineering, Shandong University at Weihai, PR China. Electronic address: zhangzhihao@sdu.edu.cn.
  • Wang Y; College of Mechanical and Electrical Engineering, Harbin Engineering University, 150001, PR China.
  • Liu X; College of Mechanical and Electrical Engineering, Harbin Engineering University, 150001, PR China.
  • Zhang M; College of Mechanical and Electrical Engineering, Harbin Engineering University, 150001, PR China.
ISA Trans ; 2024 May 15.
Article in En | MEDLINE | ID: mdl-38772803
ABSTRACT
This paper addresses robust fault detection observer design for a class of discrete-time Takagi-Sugeno nonlinear systems. A novel design method is presented based on finite-frequency H-/H∞ indices and peak-to-peak analysis. The finite-frequency H- and H∞ indices are utilized to characterize fault sensitivity and disturbance robustness, respectively. The peak-to-peak analysis is used to derive a dynamic threshold. An iterative algorithm is further developed to reduce conservatism. Theoretical proof shows that the performance of the proposed method is not worse than some existing works. Simulation results demonstrate the validity and viability of the proposed method.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: ISA Trans Year: 2024 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: ISA Trans Year: 2024 Document type: Article