python-control | Python Control Systems Library is a Python module

 by   python-control Python Version: 0.9.4 License: BSD-3-Clause

kandi X-RAY | python-control Summary

kandi X-RAY | python-control Summary

python-control is a Python library typically used in Simulation applications. python-control has no bugs, it has no vulnerabilities, it has a Permissive License and it has high support. However python-control build file is not available. You can install using 'pip install python-control' or download it from GitHub, PyPI.

The Python Control Systems Library is a Python module that implements basic operations for analysis and design of feedback control systems.
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              python-control has a highly active ecosystem.
              It has 1364 star(s) with 372 fork(s). There are 61 watchers for this library.
              There were 1 major release(s) in the last 12 months.
              There are 59 open issues and 350 have been closed. On average issues are closed in 270 days. There are 5 open pull requests and 0 closed requests.
              OutlinedDot
              It has a negative sentiment in the developer community.
              The latest version of python-control is 0.9.4

            kandi-Quality Quality

              python-control has no bugs reported.

            kandi-Security Security

              python-control has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              python-control is licensed under the BSD-3-Clause License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              python-control releases are available to install and integrate.
              Deployable package is available in PyPI.
              python-control has no build file. You will be need to create the build yourself to build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed python-control and discovered the below as its top functions. This is intended to give you an instant insight into python-control implemented functionality, and help decide if they suit your requirements.
            • Construct an input output response
            • Return True if sys isctime
            • Determine the size of a system component
            • Return whether this time is actime
            • Solve the linear objective function
            • Compute the basis matrix for a flag
            • Evaluate the derivative of a function
            • R Generate a linear solution to a point
            • R Compute the solution of an equation
            • Plot a phase plot
            • Return the first occurrence of a condition
            • Create a StateFK with the given parameters
            • Create a StateSystem object from an LTI system
            • Create an estimator for a given system
            • Simulate a step response
            • R Compute transfer function
            • R Solve an objective problem
            • Construct a StateSpace from an LTI system
            • Generate a Gangof4 plot
            • Generate a plot of a function
            • Generate sisotool plot
            • Compute the equation of the equation
            • Use legacy defaults
            • Convert a tf to a StateSpace object
            • Generate the constraint function
            • Calculate the cost function
            • Return the frequency response of the system
            Get all kandi verified functions for this library.

            python-control Key Features

            No Key Features are available at this moment for python-control.

            python-control Examples and Code Snippets

            Autodidax: JAX core from scratch-Part 4: linearize and vjp (and grad!)-linearize
            Pythondot img1Lines of Code : 362dot img1License : Permissive (Apache-2.0)
            copy iconCopy
            y, f_lin = linearize(f, x)
            y_dot = f_lin(x_dot)
            
            y, y_dot = jvp(f, (x,), (x_dot,))
            
            jvp : (a -> b) -> (UnrestrictedUse a, T a) -o (UnrestrictedUse b, T b)
            
            def split_half(lst: List[Any]) -> Tuple[List[Any], List[Any]]:
              assert not len(lst)   
            copy iconCopy
            def jit(f):
              def f_jitted(*args):
                avals_in = [raise_to_shaped(get_aval(x)) for x in args]
                jaxpr, consts, out_tree = make_jaxpr(f, *avals_in)
                outs = bind(xla_call_p, *consts, *args, jaxpr=jaxpr, num_consts=len(consts))
                return tree_unf  
            copy iconCopy
            :id: nVkhbIFAOGZk
            
            from jax import custom_jvp
            import jax.numpy as jnp
            
            # f :: a -> b
            @custom_jvp
            def f(x):
              return jnp.sin(x)
            
            # f_jvp :: (a, T a) -> (b, T b)
            def f_jvp(primals, tangents):
              x, = primals
              t, = tangents
              return f(x), jnp.cos(  
            Decorate a function .
            pythondot img4Lines of Code : 402dot img4License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def function(func=None,
                         input_signature=None,
                         autograph=True,
                         jit_compile=None,
                         reduce_retracing=False,
                         experimental_implements=None,
                         experimental_autograph_options=None,
               
            A defun function decorator .
            pythondot img5Lines of Code : 341dot img5License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def defun(func=None,
                      input_signature=None,
                      autograph=True,
                      experimental_autograph_options=None,
                      reduce_retracing=False):
              """Compiles a Python function into a callable TensorFlow graph.
            
              `defun` (short for "  
            python-prompt-toolkit - sqlite cli
            Pythondot img6Lines of Code : 171dot img6License : Non-SPDX (BSD 3-Clause "New" or "Revised" License)
            copy iconCopy
            #!/usr/bin/env python
            import sqlite3
            import sys
            
            from pygments.lexers.sql import SqlLexer
            
            from prompt_toolkit import PromptSession
            from prompt_toolkit.completion import WordCompleter
            from prompt_toolkit.lexers import PygmentsLexer
            from prompt_toolki  
            file reading coding challenge
            Pythondot img7Lines of Code : 14dot img7License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            student_data = {}
            with open("test.txt", 'r') as f:
                data = f.readlines()
                for line in data:
                    line_list = line.strip().split()
                    student_data[line_list[0] + ' ' + line_list[1]] = int(line_list[2])
            
            print("Students with gr
            file reading coding challenge
            Pythondot img8Lines of Code : 23dot img8License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            Nesterenkov P. 4
            Ivanov O. 4
            Dmitriev N. 2
            Petrov I. 3
            ...
            
            file = open("grades.txt", 'r')
            lines = file.readlines()
            for line in lines:
                if line == '' or line == '\n' or line.__len__() < 5:
                    continue
               
            Select radio item in edit view Django Template
            Pythondot img9Lines of Code : 2dot img9License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            gradings = list(map(str, range(1, 6)))
            
            Using recursion to concatenate two strings
            Pythondot img10Lines of Code : 21dot img10License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
                return concat_order(str1[1:], str2[1:])
                return new_str
            
            def concat_order(str1, str2, new_str):
                if len(str1) == 0:
                    return new_str
                new_str += str1[0] + str2[0]
            
                return concat_order(str1[1:]

            Community Discussions

            QUESTION

            is it possible to jit a function which uses jax.numpy.unique?
            Asked 2021-May-30 at 03:49

            The following code does not work:

            ...

            ANSWER

            Answered 2021-May-30 at 03:49

            No, for the reasons you mention, there's currently no way to use jnp.unique on a non-static value.

            In similar cases, JAX sometimes adds extra parameters that can be used to specify a static size for the output (for example, the size parameter in jax.numpy.nonzero) but nothing like that is currently implemented for jnp.unique. If that is something you'd like, it would be worth filing a feature request.

            Source https://stackoverflow.com/questions/67739742

            QUESTION

            How can I extract that list of denominator and numerator from a SymPy equation?
            Asked 2020-May-21 at 23:58

            I have some code like this here that describes an expression in SymPy (https://www.sympy.org/en/index.html):

            ...

            ANSWER

            Answered 2020-May-21 at 23:58

            Poly has an all_coeffs method that can be applied to the identified numerator and denominator of a rational expression, e.g.

            Source https://stackoverflow.com/questions/61938545

            QUESTION

            Eclipse Nsight and Anaconda using PyPi packages
            Asked 2017-Sep-22 at 19:59

            I am using Eclipse (NSight Release 8.0) with PyDev (4.5.5) as my Python editor and I just started using Anaconda 3.6, since I need some GPU capabilities of it (Numba).

            I am trying to import a Python module named "Control", a PyPi package. I installed it using conda skeleton, as described in here. When I try to import it using IDLE3 (which is configured for Anaconda), everything works fine, but when I try it inside Eclipse, I get the following error message:

            import control ModuleNotFoundError: No module named 'control'

            I tried many solution that I've found, for example, here and here, but none of them work.

            How can I make Eclipse recognize the installed packages?

            ...

            ANSWER

            Answered 2017-Sep-22 at 18:01

            The solution is, instead of using conda skeleton, use

            Source https://stackoverflow.com/questions/46370255

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install python-control

            You can install using 'pip install python-control' or download it from GitHub, PyPI.
            You can use python-control like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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