Robust and optimal design and analysis of linear control systems
Gradient Ascent Pulse Engineering in Julia
Macros and functions to work with DSGE models.
Model and solve optimal control problems in Julia, both on CPU and GPU.
A collection of optimal control problems with ODE's in Julia.
Fundamentals of the control-toolbox ecosystem
A JuMP extension for Stochastic Dual Dynamic Programming
MHMiLQR.jl - Minimal Hessian Modification iLQR
Julia Framework for Quantum Dynamics and Control
An intuitive modeling interface for infinite-dimensional optimization problems.
Flows: classical, Hamiltonian, from OCP and more
Quantum Optimal Control with Direct Collocation
Efficient Handling of Trajectories with User Defined Named Components
A model free approach for continuous-time optimal tracking control with unknown user-define cost and constrained control input via advantage function
Optimal experimental design of ODE and DAE systems in julia
Julia implementation of Krotov's method for quantum optimal control
Particle Gibbs-based optimal control with performance guarantees for unknown systems with latent states
Like reinforcement learning, but it works in practice
Proximal algorithms for nonsmooth optimization in Julia
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