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Open Source Science

https://github.com/baggepinnen/seetodee.jl

A small step for dynamics, a giant leap for SciML

https://github.com/baggepinnen/seetodee.jl

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (10.3%) to scientific vocabulary

Keywords

control-systems controls direct-collocation integration rk4 runge-kutta-4 simulation
Last synced: 5 months ago · JSON representation

Repository

A small step for dynamics, a giant leap for SciML

Basic Info
  • Host: GitHub
  • Owner: baggepinnen
  • License: mit
  • Language: Julia
  • Default Branch: main
  • Homepage:
  • Size: 683 KB
Statistics
  • Stars: 19
  • Watchers: 3
  • Forks: 0
  • Open Issues: 1
  • Releases: 15
Topics
control-systems controls direct-collocation integration rk4 runge-kutta-4 simulation
Created over 2 years ago · Last pushed 6 months ago
Metadata Files
Readme License

README.md

SeeToDee

Build Status Documentation, stable Documentation, latest

SeeToDee implements low-overhead, nonlinear variants of the classical c2d function from ControlSystems.jl.

Given a continuous-time dynamics function math \dot x = f(x, u, p, t) this package contains integrators that convert the continuous-time dynamics into a discrete-time dynamics function math x_{t+T_s} = f(x_t, u_t, p, t) that advances the state from time $t$ to time $t+T_s$, with a Zero-order-Hold (ZoH) assumption on the input $u$.

The integrators in this package focus on - Low overhead for single-step integration, i.e., no solution handling, no interpolation, nothing fancy at all. - Fixed time step. All integrators are non-adaptive, i.e., the integrators do not change their step size using error control. This typically makes the integrator have a more predictable runtime. It also reduces overhead without affecting accuracy in situations when the fixed step-size is small in relation to what would be required to meet the desired accuracy. - Dirt-simple interface, i.e., you literally use the integrator as a function x⁺ = f(x, u, p, t) that you can call in a loop etc. to perform simulations. - Inputs are first class, i.e., the signature of the dynamics take input signals (such as controlled inputs or disturbance inputs) as arguments. - Most things are manual. Want to simulate a trajectory? Write a loop!

Owner

  • Name: Fredrik Bagge Carlson
  • Login: baggepinnen
  • Kind: user
  • Location: Lund, Sweden

Control systems, system identification, signal processing and machine learning

GitHub Events

Total
  • Create event: 13
  • Commit comment event: 9
  • Release event: 4
  • Watch event: 5
  • Delete event: 36
  • Issue comment event: 5
  • Push event: 35
  • Pull request event: 13
Last Year
  • Create event: 13
  • Commit comment event: 9
  • Release event: 4
  • Watch event: 5
  • Delete event: 36
  • Issue comment event: 5
  • Push event: 35
  • Pull request event: 13

Committers

Last synced: over 1 year ago

All Time
  • Total Commits: 36
  • Total Committers: 1
  • Avg Commits per committer: 36.0
  • Development Distribution Score (DDS): 0.0
Past Year
  • Commits: 36
  • Committers: 1
  • Avg Commits per committer: 36.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Fredrik Bagge Carlson b****n@g****m 36

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 3
  • Total pull requests: 16
  • Average time to close issues: 1 day
  • Average time to close pull requests: about 12 hours
  • Total issue authors: 3
  • Total pull request authors: 1
  • Average comments per issue: 5.33
  • Average comments per pull request: 0.0
  • Merged pull requests: 15
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 1
  • Pull requests: 9
  • Average time to close issues: 4 days
  • Average time to close pull requests: about 2 hours
  • Issue authors: 1
  • Pull request authors: 1
  • Average comments per issue: 1.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 8
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • baggepinnen (2)
  • ufechner7 (1)
  • JuliaTagBot (1)
Pull Request Authors
  • baggepinnen (23)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • julia 20 total
  • Total dependent packages: 1
  • Total dependent repositories: 0
  • Total versions: 15
juliahub.com: SeeToDee

A small step for dynamics, a giant leap for SciML

  • Versions: 15
  • Dependent Packages: 1
  • Dependent Repositories: 0
  • Downloads: 20 Total
Rankings
Dependent repos count: 10.2%
Average: 23.9%
Dependent packages count: 37.6%
Last synced: 6 months ago

Dependencies

.github/workflows/CI.yml actions
  • actions/checkout v3 composite
  • julia-actions/cache v1 composite
  • julia-actions/julia-buildpkg v1 composite
  • julia-actions/julia-runtest v1 composite
  • julia-actions/setup-julia v1 composite
.github/workflows/CompatHelper.yml actions
.github/workflows/TagBot.yml actions
  • JuliaRegistries/TagBot v1 composite
.github/workflows/docs.yml actions
  • actions/checkout v2 composite
  • julia-actions/setup-julia latest composite