Quantum Optimal Control with Direct Collocation
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Updated
Jun 13, 2024 - Julia
Quantum Optimal Control with Direct Collocation
Efficient Handling of Trajectories with User Defined Named Components
A convenience meta-package for quantum optimal control using the Pade Integrator COllocation (PICO) method
A differentiable physics engine for robotics
Differentiable trajectory optimization in Julia.
Trajectory Optimization for Robot Arms
quantum optimal control with direct collocation
Utility functions for indexing and slicing trajectory data vectors
A Julia package for constrained iterative LQR (iLQR)
Implementation and examples from Trajectory Optimization with Optimization-Based Dynamics https://arxiv.org/abs/2109.04928
A julia package for doing quantum optimal control with the trajectory optimization algorithm ALTRO
A Julia package for constrained trajectory optimization using direct methods.
A package for solving Differential Dynamic Programming and trajectory optimization problems.
Focus on trajectory optimization in Julia. Additional resources in learning Julia from the basics.
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