MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.

A Control Systems Toolbox for Julia

Arrays with arbitrarily nested named components.

Computing reachable states of dynamical systems in Julia

System Identification toolbox, compatible with ControlSystems.jl

State estimation, smoothing and parameter estimation using Kalman and particle filters.

Model and solve optimal control problems in Julia, both on CPU and GPU.

nonlinear control optimization tool

An open source model predictive control package for Julia.

Solution of Lyapunov, Sylvester and Riccati matrix equations using Julia

Robust and optimal design and analysis of linear control systems

C-code generation and an interface between ControlSystems.jl and SymPy.jl

Reachability and Safety of Nondeterministic Dynamical Systems

Create reduced-order state-space models for lithium-ion batteries utilising realisation algorithms.

Discrete-time PID controllers in Julia

Manipulation of generalized state-space (descriptor) system representations using Julia

Signal logging and scoping for DifferentialEquations.jl simulations.

Nonlinear filters to create dynamically feasible reference trajectories

Tools to estimate Linear Time-Varying models in Julia

A small step for dynamics, a giant leap for SciML