ComponentArrays.jl
ControlSystems.jl
Our great sponsors
ComponentArrays.jl | ControlSystems.jl | |
---|---|---|
1 | 2 | |
276 | 486 | |
- | 1.6% | |
7.0 | 8.8 | |
4 days ago | 27 days ago | |
Julia | Julia | |
MIT License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ComponentArrays.jl
-
Recursion absolutely necessary for distributed computing?
But for these to be as fast as say an Array when being used as the object in a differential equation solve or as the underlying construct of a nonlinear optimization, you would need the compiler to elide the struct construction which it doesn't always do. This is why the tools evolved to be around things like https://github.com/jonniedie/ComponentArrays.jl instead, where it's an Array-backed object with a higher level. Such immutable objects are used in these array-like contexts when the problems are small enough (FieldVectors or SLVector LabelledArrays.jl in DiffEq), and such applications work well in Haskell as well, but I haven't seen a compiler do well with say a 1,000 ODE model written in this style. And it's not quite an extreme case if it's what people are doing daily.
ControlSystems.jl
-
What is the status of libraries in julia for control systems analysis and design?
control system toolbox -> ControlSystems.jl
-
Control theory related open source project
Find an open-source controls library on GitHub (this one's my favorite) and search the Issues tab for something that everyone agrees would be nice to have/fix but no one has gotten around to implementing/fixing. If it's something you feel comfortable implementing, ask the maintainers if they wouldn't mind if you submitted a pull request for the new feature/bugfix.
What are some alternatives?
DiffEqBase.jl - The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
DSGE.jl - Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)
JuMP.jl - Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
PowerSimulationsDynamics.jl - Julia package to run Dynamic Power System simulations. Part of the Scalable Integrated Infrastructure Planning Initiative at the National Renewable Energy Lab.
RayTracer.jl - Differentiable RayTracing in Julia
MatrixEquations.jl - Solution of Lyapunov, Sylvester and Riccati matrix equations using Julia
ModelingToolkit.jl - An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations
KiteSimulators.jl - Simulators for kite power systems
DiscretePIDs.jl - Discrete-time PID controllers in Julia
GeoStats.jl - An extensible framework for geospatial data science and geostatistical modeling fully written in Julia
TrajectoryLimiters.jl - Nonlinear filters to create dynamically feasible reference trajectories