Funnel-based Reachability Control of Unknown Nonlinear Systems using Gaussian Processes

This paper aims to synthesize a reachability controller for an unknown dynamical system. We first learn the unknown system using Gaussian processes and the (probabilistic) guarantee on the learned model. Then we use the funnel-based controller synthesis approach using this approximated dynamical system to design the controller for a reachability specification. Finally, the merits of the proposed method are shown using a numerical example.Comment: Accepted in Indian Control Conference 202

MadhurDixit13/MovieRecommender: MovieRecommender_v2.0.0

<p>Revamped UI with Integrated OMDB API!</p> <p>Experience our sleek, modern user interface with the power of the OMDB API seamlessly woven in. Now, you can easily access essential information from the movie database, including IMDb ratings and eye-catching posters. Say goodbye to the old and hello to the new and improved Movie Recommender! </p> <h2>What's Changed</h2> <ul> <li>Update README.md by @MadhurDixit13 in https://github.com/MadhurDixit13/MovieRecommender/pull/2</li> <li>Madhur by @MadhurDixit13 in https://github.com/MadhurDixit13/MovieRecommender/pull/1</li> <li>Madhur by @MadhurDixit13 in https://github.com/MadhurDixit13/MovieRecommender/pull/5</li> <li>Update workflow.yml by @MadhurDixit13 in https://github.com/MadhurDixit13/MovieRecommender/pull/8</li> <li>Madhur dixit13 patch 4 by @MadhurDixit13 in https://github.com/MadhurDixit13/MovieRecommender/pull/9</li> <li>Created Cards for predicted movies with poster and imdb ratings by @ATHARVA47 in https://github.com/MadhurDixit13/MovieRecommender/pull/15</li> </ul> <h2>New Contributors</h2> <ul> <li>@ATHARVA47 made their first contribution in https://github.com/MadhurDixit13/MovieRecommender/pull/15</li> </ul> <p><strong>Full Changelog</strong>: https://github.com/MadhurDixit13/MovieRecommender/commits/version2.0</p&gt

raghavnarula/MovieRecommender: Sentiment Analysis on Coments

<p>Added sentiment analysis on comments so as to separate them into three categories:</p> <ul> <li>Supportive</li> <li>Critical</li> <li>Neutral</li> </ul> <h2>What's Changed</h2> <ul> <li>Added Sentiment Analysis by @AtharvaThorve in https://github.com/raghavnarula/MovieRecommender/pull/20</li> <li>Updated README.md by @raghavnarula in https://github.com/raghavnarula/MovieRecommender/pull/21</li> </ul> <p><strong>Full Changelog</strong>: https://github.com/raghavnarula/MovieRecommender/compare/v2.0...v2.5</p&gt