MatrixEquations.jl
acados
| MatrixEquations.jl | acados | |
|---|---|---|
| 1 | 5 | |
| 78 | 677 | |
| - | 2.5% | |
| 8.2 | 8.9 | |
| 3 months ago | 1 day ago | |
| Julia | C | |
| 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.
MatrixEquations.jl
acados
-
How to understand Model Predictive Control
I would check out CasADi (specifically the opti framework) and or ACADOS. To code up a quick MPC in general is not hard, but to squeeze efficiency and exploit sparsity for good real-time performance is a little more involved and these tools really help with that.
-
Question about Model Predictive Control (MPC) cost function
Generally, nonlinear MPC uses either IPOPT (an interior point method) or sequential quadtraic programming based approaches (google GURBOI, qpoases, qrqp...). A good python framework is CasADi, or its sister project ACADOS. I think there is also a fair amount of literature on learning MPC cost functions from data you could probably find.
-
Show HN: prometeo – a Python-to-C transpiler for high-performance computing
Thanks for the question! My background is in numerical optimization for optimal control. Projects like this https://github.com/acados/acados motivated the development of prometeo. It's mostly about solving optimization problems as fast as possible to make optimal decisions in real-time.
-
Do you know a good free toolbox on mpc control for GNU Octave?
Look at Acados. I didn't use it with Octave, but according the readme it has a interface with Octave.
What are some alternatives?
prometeo - An experimental Python-to-C transpiler and domain specific language for embedded high-performance computing
StaticCompiler.jl - Compiles Julia code to a standalone library (experimental)
blasfeo - Basic linear algebra subroutines for embedded optimization
pyomo - An object-oriented algebraic modeling language in Python for structured optimization problems.
ControlSystems.jl - A Control Systems Toolbox for Julia
py2many - Transpiler of Python to many other languages
Octavian.jl - Multi-threaded BLAS-like library that provides pure Julia matrix multiplication
hpipm - High-performance interior-point-method QP and QCQP solvers
Metatheory.jl - General purpose algebraic metaprogramming and symbolic computation library for the Julia programming language: E-Graphs & equality saturation, term rewriting and more.
DiscretePIDs.jl - Discrete-time PID controllers in Julia