Control Library

The JuliaSim control library implements functionality for the design, simulation and optimization of control systems.

JuliaSimControls builds upon ModelingToolkit.jl and the JuliaControl ecosystem, providing a wide array of modeling, simulation, analysis and design methods for every step in the design and implementation of control systems.

If you are new to control design with JuliaSim, we provide the following list of references to help you navigate the ecosystem.

Modeling and simulation

JuliaSim builds upon ModelingToolkit.jl, a symbolic, acausal modeling framework. ModelingToolkit.jl allows you to model component-based physical systems, making it easy to build detailed plant models out of reusable components. Learn more about ModelingToolkit in the documentation or in the tutorial Modeling for control using ModelingToolkit.

Under the surface, ModelingToolkit uses DifferentialEquations.jl to solve ODEs and DAEs. This interface can be used directly, learn more about this in the documentation.

Analysis and design of linear control systems

JuliaControl contains a wide range of tools for analysis and design of linear systems, learn more about this ecosystem here.

To learn how to work with linear system types, such as linear statespace systems and transfer functions, as well as basic control analysis and design, consult the ControlSystems.jl documentation. To learn about robust and optimal linear control, consult the documentation of RobustAndOptimalControl.jl. Both aforementioned documentations contains examples and tutorial on the respective topics. JuliaSim extends the functionality of the JuliaControl ecosystem in several ways, exposed in this documentation.

Contents of this documentation