Git Product home page Git Product logo

basic-multiple-interval-pseudospectral's Introduction

README (basic-multiple-interval-pseudospectral)

GitHub release GitHub contributors

license

This project implements multiple-interval pseudospectral methods to solve optimal control problems.

readme_image.svg


Install

INSTALL_Basic_Pseudospectral
  • See BD_main.m to run the Bryson-Denham example
open BD_main
  • See the technical report [PDF] for the theory and case study results

Citation

The code is complementary material for the following publication:

  • DR Herber. Basic Implementation of Multiple-Interval Pseudospectral Methods to Solve Optimal Control Problems. Technical report, Engineering System Design Lab, UIUC-ESDL-2015-01, Urbana, IL, USA, Jun 2015. [PDF]

Description

The two numerical schemes are used: the Legendre pseudospectral method with LGL nodes and the Chebyshev pseudospectral method with CGL nodes. The results from the case studies using the Bryson-Denham problem demonstrate the effect of user's choice in mesh parameters and little difference between the two numerical pseudospectral schemes. The solution procedure is independent of Bryson-Denham problem the test so other optimal control problems can be solved with the accompanying code.

The main purpose of this submission is to provide a reference for the basic implementation of multiple-interval pseudospectral methods. Paired with the technical report of the same name, I hope to help bring this advanced method for solving optimal control problems to a broader audience (especially in the classroom).

External Includes

See INSTALL_Basic_Pseudospectral.m for more information

  • MATLAB File Exchange Submission IDs (23629, 40397)
  • Code from Lloyd N. Trefethen. Spectral Methods in MATLAB, SIAM, 2000. [URL]
  • Code from J. Shen, T. Tang, and L. Wang. Spectral Methods: Algorithms, Analysis and Applications, Springer, 2011. [URL]

General Information

Contributors

Project Links

basic-multiple-interval-pseudospectral's People

Contributors

danielrherber avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.