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Online identification of nonlinear systems using neo-fuzzy supported brain emotional learning network.

, , , , , and . J. Intell. Fuzzy Syst., 38 (5): 6045-6051 (2020)

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Online identification of nonlinear systems using neo-fuzzy supported brain emotional learning network., , , , , and . J. Intell. Fuzzy Syst., 38 (5): 6045-6051 (2020)Disturbance observer supported fuzzy model based controller with application to bilateral teleoperation systems., , , , , , , and . J. Intell. Fuzzy Syst., 43 (2): 1911-1919 (2022)A composite state convergence scheme for bilateral teleoperation systems., , , , , and . IEEE CAA J. Autom. Sinica, 6 (5): 1166-1178 (2019)Image processing based fault classification in power systems with classical and intelligent techniques., , , , , , , , and . J. Intell. Fuzzy Syst., 43 (2): 1921-1932 (2022)State Convergence Based Design of a Single-Master-Multi-Slave Nonlinear Teleoperation System., , , , , and . ICCA, page 186-191. IEEE, (2018)Graphical user interface based controller design for switching converters., , , and . ICIA, page 1149-1153. IEEE, (2014)Control of Robotic Manipulator Using Optimized Neural Networks., , , , and . SOFA, volume 1438 of Advances in Intelligent Systems and Computing, page 12-27. Springer, (2020)Enhanced Functionality of Footing Machine through Deep Learning., , , , , , , and . SOFA, volume 1438 of Advances in Intelligent Systems and Computing, page 3-11. Springer, (2020)LMI Based Stability Analysis of State Convergence Architecture for Bilateral Teleoperation Systems., , , , and . CCECE, page 136-140. IEEE, (2022)Disturbance-observer-Supported three-channel State convergence Architecture for bilateral teleoperation Systems., , , , , and . Int. J. Robotics Autom., (2021)