System Identification tools for python
Project description
pysid
This is a python System Identification package, based on numpy and scipy, that provides some tools for parametric identification of causal linear time-invariant systems.
Supported methods
Here are the list of the implemented methods
- Least Squares
- Instrumental Variables
- Prediction Error method
Dependencies
Currently, this package is based on numpy. For this reason, the basic package dependencies are:
- Numpy
- Scipy
Installation
pip install pysid
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file pysid-0.1.1.tar.gz.
File metadata
- Download URL: pysid-0.1.1.tar.gz
- Upload date:
- Size: 29.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.2 importlib_metadata/4.11.3 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.64.0 CPython/3.8.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1f08093b850a64db421e52482778b7f6c653341911443faaba5f56a0168338b4
|
|
| MD5 |
57bb7b81ec5e0723a098eb0232c2f703
|
|
| BLAKE2b-256 |
e9f2590b7c8f288f7770cb3b38c9ed057c650bf221c14031f227caaf5329cb64
|
File details
Details for the file pysid-0.1.1-py3-none-any.whl.
File metadata
- Download URL: pysid-0.1.1-py3-none-any.whl
- Upload date:
- Size: 35.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.2 importlib_metadata/4.11.3 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.64.0 CPython/3.8.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b78c8d3f1afa01413fa6c2a22b473130710836dd47c5484187645e6be8a3990a
|
|
| MD5 |
27129496d6aea0fa654d256c7176957e
|
|
| BLAKE2b-256 |
bfcdd13053b375ff4a11eb17f7d7c8e1cc18423946f233290c53a87d74c12324
|