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Adaptive Approximation-Based Regulation Control for a Class of Uncertain Nonlinear Systems Without Feedback Linearizability.

, , , , и . IEEE Trans. Neural Networks Learn. Syst., 29 (8): 3747-3760 (2018)

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Jing Sun

Jing Sun

Jing Sun

Jing Sun

Yuanyuan Jing

 

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A Novel Extreme Learning Control Framework of Unmanned Surface Vehicles., , , и . IEEE Trans. Cybern., 46 (5): 1106-1117 (2016)Tracking-Error-Based Universal Adaptive Fuzzy Control for Output Tracking of Nonlinear Systems with Completely Unknown Dynamics., , и . IEEE Trans. Fuzzy Syst., 26 (2): 869-883 (2018)Global Adaptive Practical Output Tracking Control for a Class of Genuinely Nonlinear Uncertain Systems: Adding an Universal Power Integrator Approach., , и . IEEE Access, (2016)Adaptive Robust Online Constructive Fuzzy Control of a Complex Surface Vehicle System., , , и . IEEE Trans. Cybern., 46 (7): 1511-1523 (2016)Extreme learning control of surface vehicles with unknown dynamics and disturbances., , , и . Neurocomputing, (2015)Direct adaptive self-structuring fuzzy control with interpretable fuzzy rules for a class of nonlinear uncertain systems., , и . Neurocomputing, (2016)Adaptive Robust Finite-Time Trajectory Tracking Control of Fully Actuated Marine Surface Vehicles., , , и . IEEE Trans. Contr. Sys. Techn., 24 (4): 1454-1462 (2016)Adaptive Approximation-Based Regulation Control for a Class of Uncertain Nonlinear Systems Without Feedback Linearizability., , , , и . IEEE Trans. Neural Networks Learn. Syst., 29 (8): 3747-3760 (2018)Adaptive Control of a Class of Nonlinear Systems with Parameterized Unknown Dynamics., , и . ISNN, том 9377 из Lecture Notes in Computer Science, стр. 71-80. Springer, (2015)Hybrid recursive least squares algorithm for online sequential identification using data chunks., , , и . Neurocomputing, (2016)