Title: Inaccurate wording in documentation of lqe and dlqe · Issue #1183 · python-control/python-control · GitHub
Open Graph Title: Inaccurate wording in documentation of lqe and dlqe · Issue #1183 · python-control/python-control
X Title: Inaccurate wording in documentation of lqe and dlqe · Issue #1183 · python-control/python-control
Description: In the documentation of lqe and dlqe, it states: produces a state estimate x_e that minimizes the expected squared error using the sensor measurements y. From my understanding of theory, this is quite inaccurate/imprecise. A better wordi...
Open Graph Description: In the documentation of lqe and dlqe, it states: produces a state estimate x_e that minimizes the expected squared error using the sensor measurements y. From my understanding of theory, this is qu...
X Description: In the documentation of lqe and dlqe, it states: produces a state estimate x_e that minimizes the expected squared error using the sensor measurements y. From my understanding of theory, this is qu...
Opengraph URL: https://github.com/python-control/python-control/issues/1183
X: @github
Domain: github.com
{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"Inaccurate wording in documentation of lqe and dlqe","articleBody":"In the documentation of lqe and dlqe, it states:\n\n\u003e produces a state estimate x_e that minimizes the expected squared error using the sensor measurements y.\n\nFrom my understanding of theory, this is quite inaccurate/imprecise.\nA better wording would be:\n\u003e produces a state estimate x_e that minimizes the generalized variance of x - x_e using the sensor measurements y.\n\nSource: \nhttps://en.wikipedia.org/wiki/Generalized_variance\nhttps://arxiv.org/pdf/2103.07275\n\nAnother wording would be that it minimizes the trace of the covariance matrix x - x_e,\nbut thinking in a generalized variance is more catchy.","author":{"url":"https://github.com/flor1an42","@type":"Person","name":"flor1an42"},"datePublished":"2025-10-31T08:47:59.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":1},"url":"https://github.com/1183/python-control/issues/1183"}| route-pattern | /_view_fragments/issues/show/:user_id/:repository/:id/issue_layout(.:format) |
| route-controller | voltron_issues_fragments |
| route-action | issue_layout |
| fetch-nonce | v2:66036b48-cf83-4505-f3f4-d935a982245d |
| current-catalog-service-hash | 81bb79d38c15960b92d99bca9288a9108c7a47b18f2423d0f6438c5b7bcd2114 |
| request-id | 899C:2CD35B:3712744:4D64C1C:69792CEA |
| html-safe-nonce | bee76ce5a0a02e47726d5d68dd1c9650877be763eaa4974313862ae5c64c1e44 |
| visitor-payload | eyJyZWZlcnJlciI6IiIsInJlcXVlc3RfaWQiOiI4OTlDOjJDRDM1QjozNzEyNzQ0OjRENjRDMUM6Njk3OTJDRUEiLCJ2aXNpdG9yX2lkIjoiMzgzNzE0MjM5NDEwOTI0MjYwMiIsInJlZ2lvbl9lZGdlIjoiaWFkIiwicmVnaW9uX3JlbmRlciI6ImlhZCJ9 |
| visitor-hmac | 3087f6a500e800680b30f5167c5f923fda7b1fac439a5d91efd6b3b79b0d88a9 |
| hovercard-subject-tag | issue:3573936555 |
| github-keyboard-shortcuts | repository,issues,copilot |
| google-site-verification | Apib7-x98H0j5cPqHWwSMm6dNU4GmODRoqxLiDzdx9I |
| octolytics-url | https://collector.github.com/github/collect |
| analytics-location | / |
| fb:app_id | 1401488693436528 |
| apple-itunes-app | app-id=1477376905, app-argument=https://github.com/_view_fragments/issues/show/python-control/python-control/1183/issue_layout |
| twitter:image | https://opengraph.githubassets.com/c0b4b77900612dfb5538e0b8e64b9d2a3746f86cae994589b8dda35c1aa7edb0/python-control/python-control/issues/1183 |
| twitter:card | summary_large_image |
| og:image | https://opengraph.githubassets.com/c0b4b77900612dfb5538e0b8e64b9d2a3746f86cae994589b8dda35c1aa7edb0/python-control/python-control/issues/1183 |
| og:image:alt | In the documentation of lqe and dlqe, it states: produces a state estimate x_e that minimizes the expected squared error using the sensor measurements y. From my understanding of theory, this is qu... |
| og:image:width | 1200 |
| og:image:height | 600 |
| og:site_name | GitHub |
| og:type | object |
| og:author:username | flor1an42 |
| hostname | github.com |
| expected-hostname | github.com |
| None | 15417fb272585d09f7c894f2a869ba34cc4c7ded898af9dccaa85542b9adb711 |
| turbo-cache-control | no-preview |
| go-import | github.com/python-control/python-control git https://github.com/python-control/python-control.git |
| octolytics-dimension-user_id | 2285872 |
| octolytics-dimension-user_login | python-control |
| octolytics-dimension-repository_id | 22791752 |
| octolytics-dimension-repository_nwo | python-control/python-control |
| octolytics-dimension-repository_public | true |
| octolytics-dimension-repository_is_fork | false |
| octolytics-dimension-repository_network_root_id | 22791752 |
| octolytics-dimension-repository_network_root_nwo | python-control/python-control |
| turbo-body-classes | logged-out env-production page-responsive |
| disable-turbo | false |
| browser-stats-url | https://api.github.com/_private/browser/stats |
| browser-errors-url | https://api.github.com/_private/browser/errors |
| release | 535f4866a7b2e3d762bd599bffe50a3cfb0702b2 |
| ui-target | full |
| theme-color | #1e2327 |
| color-scheme | light dark |
Links:
Viewport: width=device-width