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Provably Robust Learning-Based Approach for High-Accuracy Tracking Control of Lagrangian Systems
Inverse dynamics control and feedforward linearization techniques are typically used to convert the complex nonlinear dynamics of Lagrangian systems to a set of decoupled double integrators, and then a standard, outer-loop controller can be used to calculate the commanded acceleration for the linearized system.
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