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Guest Editorial to the Special Section on Composite Adaptive and Learning Control With Robotic Applications.

, , , and . IEEE Control. Syst. Lett., (2024)

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Consideration of Molecular Weight during Compound Selection in Virtual Target-Based Database Screening., , , and . Journal of Chemical Information and Computer Sciences, 43 (1): 267-272 (2003)A Strictly Predefined-Time Convergent and Noise-Tolerant Neural Model for Solving Linear Equations With Robotic Applications., , , and . IEEE Trans. Ind. Electron., 71 (1): 798-809 (2024)Composite learning control of robotic systems: A least squares modulated approach., , , and . Autom., (2020)Compressive Sensing for Joint User Activity and Data Detection in Grant-Free NOMA., , and . IEEE Wirel. Commun. Lett., 8 (3): 857-860 (2019)Adaptive Fuzzy Backstepping Control of Fractional-Order Nonlinear Systems., , , and . IEEE Trans. Syst. Man Cybern. Syst., 47 (8): 2209-2217 (2017)Robust wavelet network control for a class of autonomous vehicles to track environmental contour line., , , and . Neurocomputing, 74 (17): 2886-2892 (2011)Composite Learning Control With Application to Inverted Pendulums., and . CoRR, (2015)Efficient PID Tracking Control of Robotic Manipulators Driven by Compliant Actuators., , and . IEEE Trans. Control. Syst. Technol., 27 (2): 915-922 (2019)Fast learning of neural networks with application to big data processes., , , , and . Neurocomputing, (2020)Lysine120 Interactions with p53 Response Elements can Allosterically Direct p53 Organization., and . PLoS Comput. Biol., (2010)