{"id":19520564,"url":"https://github.com/intelligentsystemslabutv/obsopt_pkg","last_synced_at":"2025-02-26T00:24:31.061Z","repository":{"id":38205009,"uuid":"417396253","full_name":"IntelligentSystemsLabUTV/obsopt_pkg","owner":"IntelligentSystemsLabUTV","description":"optimisation based package - matlab coded","archived":false,"fork":false,"pushed_at":"2024-08-08T11:13:19.000Z","size":305945,"stargazers_count":1,"open_issues_count":1,"forks_count":0,"subscribers_count":3,"default_branch":"master","last_synced_at":"2024-08-08T13:04:32.282Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"MATLAB","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/IntelligentSystemsLabUTV.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"COPYING","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2021-10-15T06:50:43.000Z","updated_at":"2022-08-20T10:05:57.000Z","dependencies_parsed_at":"2023-02-19T06:15:40.068Z","dependency_job_id":"98559d69-d13c-48b5-880c-4c898cb30e1f","html_url":"https://github.com/IntelligentSystemsLabUTV/obsopt_pkg","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/IntelligentSystemsLabUTV%2Fobsopt_pkg","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/IntelligentSystemsLabUTV%2Fobsopt_pkg/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/IntelligentSystemsLabUTV%2Fobsopt_pkg/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/IntelligentSystemsLabUTV%2Fobsopt_pkg/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/IntelligentSystemsLabUTV","download_url":"https://codeload.github.com/IntelligentSystemsLabUTV/obsopt_pkg/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":240768530,"owners_count":19854476,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-11-11T00:26:36.259Z","updated_at":"2025-02-26T00:24:31.008Z","avatar_url":"https://github.com/IntelligentSystemsLabUTV.png","language":"MATLAB","readme":"# MHE observer tool\nThis is a MATLAB tool implementing a Moving Horizon Estimator (MHE). The repository is structured as follows: \n \n- *Lib*: this folder contains all the code. For more information see comments on the code.\n- *doc*: this folder contains documentation. \n\nMore specifically, the following info can be useful:\n\n- *Observer_opt_presentation.pdf*: general overview on the theoretical basis for MHEs. More specifically, the presentation covers _standard MHE_, _filtered MHE_, and _adaptive MHE_ (see https://doi.org/10.48550/arXiv.2204.09359).\n- *Lib/obs/obsopt.m*: the actual MATLAB class implementing the MHE.\n- *Lib/simulation_scripts*: this folder contains the scripts to test and use the MHE.\n- Models: the default version of the observer is provided with a Van der Pol oscillator as test example. The user may add its own models following the structure of the files in *Lib/models*\n\nThe MHE is designed to work as in the following flow (for more detailed information refer to *simulation_general_v3.m*): \n\n1) init model and observer\n2) for loop\n\ta) simulate model\n\tb) get measurements (noise)\n\tc) run the observer\n3) post simulation analysis\n\n\n# Install and test\n\nFirst add the library to your MATLAB path and then run the test scripts. On a MATLAB prompt: \\\n` \u003e\u003e addpath(genpath('Lib'))` \\\n` \u003e\u003e test_VDP;` \n\nNow, use *simulation_general.m* as a templte for your code. The file can be run as follows: \\\n` \u003e\u003e [params,obs] = simulation_general();` \n\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fintelligentsystemslabutv%2Fobsopt_pkg","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fintelligentsystemslabutv%2Fobsopt_pkg","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fintelligentsystemslabutv%2Fobsopt_pkg/lists"}