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The recipe is simple: (1) measure the current state (2) optimize a trajectory from the current state (3) execute the first action from the optimized  - Information from underactuated.mit.edu

Linearization around a nominal operating point (or trajectory) allowed us to solve for locally optimal control policies (eg using LQR) for even very high  - Information from underactuated.mit.edu