Robust Event-triggered Fuzzy Energy-to-peak Disturbance Attenuation for Wheeled Mobile Robots
Author:
Funder
Inha University
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s42835-024-01893-w.pdf
Reference21 articles.
1. Chang XH, Park JH, Shi P (2017) Fuzzy resilient energy-to-peak filtering for continuous-time nonlinear systems. IEEE Trans Fuzzy Syst 25(6):1576–1588. https://doi.org/10.1109/tfuzz.2016.2612302
2. Ge Z, Man Z, Wang Z, Bai X, Wang X, Xiong F, Li D (2023) Robust adaptive sliding mode control for path tracking of unmanned agricultural vehicles. Comput Electr Eng 108(108):693. https://doi.org/10.1016/j.compeleceng.2023.108693
3. Jee SC, Lee HJ (2023) Positive sampled-data disturbance attenuation: separate design. Journal of Electrical Engineering & Technology. https://doi.org/10.1007/s42835-023-01637-2
4. Klančar G, Škrjanc I (2007) Tracking-error model-based predictive control for mobile robots in real time. Robot Auton Syst 55(6):460–469. https://doi.org/10.1016/j.robot.2007.01.002
5. Lee HJ (2022) Robust static output-feedback vaccination policy design for an uncertain SIR epidemic model with disturbances: positive Takagi-Sugeno model approach. Biomed Signal Process Control 72(Part A):103,273. https://doi.org/10.1016/j.bspc.2021.103273
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