{"id":"W4389540777","doi":"10.17118/11143/21101","title":"Control of a modified double inverted pendulum using machine learningbased model predictive control","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Inverted pendulum; Model predictive control; Double inverted pendulum; Computer science; Control theory (sociology); Control (management); Control engineering; Artificial intelligence; Engineering; Physics; Nonlinear system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004491698,0.0006586212,0.0008204342,0.0004267681,0.0005439083,0.0007685602,0.0007329325,0.0006056657,0.001911616],"category_scores_gemma":[0.0006192343,0.0002787649,0.0004254908,0.0004360286,0.0004411859,0.0003115058,0.0006312173,0.0005539516,0.0002856192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004323623,"about_ca_system_score_gemma":0.0007765634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006953999,"about_ca_topic_score_gemma":0.005695685,"domain_scores_codex":[0.9998349,0.0000262606,0.00000962377,0.00003747478,0.00006227119,0.00002951987],"domain_scores_gemma":[0.9997762,0.0000575443,0.00005149985,0.00001619985,0.00008073579,0.00001789019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001643072,0.00008532677,0.0008526117,0.0002709427,0.00007004446,0.0004155218,0.00005088407,0.9226052,0.01403597,0.002343256,0.001501378,0.0576046],"study_design_scores_gemma":[0.00001242433,0.0000679337,0.0001659302,0.000005024381,0.00000598369,0.00001623191,0.00000278065,0.9983248,0.0008102795,0.0001291199,0.0004555663,0.000003891631],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1514648,0.001105715,0.8284022,0.0004589962,0.000526823,0.0002758895,0.0001967152,0.001367583,0.01620135],"genre_scores_gemma":[0.9750031,0.0001581976,0.0221146,0.00005314048,0.0000318192,0.0001302632,0.00007650098,0.00001495469,0.002417389],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006953999,"threshold_uncertainty_score":0.01382703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01935759032107678,"score_gpt":0.2319329031295822,"score_spread":0.2125753128085054,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}