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Repetitive learning control only requires that the learned variables satisfy the repetitive condition like iterative learning control, and does not require repositioning like repetitive control, which avoids the initial repositioning in iterative learning control and extends the applicability of repetitive control. A robust repetitive learning control is proposed for a class of nonlinear systems with...
This paper investigates the position and curve stabilization problems of wheeled mobile robots with parameter uncertainties. Smooth state feedback control laws are derived by combining Lyapunov and back-stepping methods, guaranteeing asymptotic convergence of the robot to the given position or the desired geometric curve from an arbitrary initial state despite the uncertain parameters. Simulation...
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