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Low-complexity Adaptive Tracking Control for Unknown Pure Feedback Nonlinear Systems with Multiple Constraints
2019
IEEE Access
A low-complexity adaptive tracking control strategy for a class of pure feedback nonlinear systems is developed in the presence of completely unknown non-affine nonlinearities, prescribed tracking performance constraints, full states constraints, and input saturation constraint. To handle the input saturation nonlinearity and the constrained states without pre-calculating the bound of virtual controllers, a new coordinate transformation approach is presented with an arc-tangent function and an
doi:10.1109/access.2019.2902021
fatcat:wnretk3w5rha3lgk6oggiinkh4