{"id":"W4367400078","doi":"10.1016/j.conengprac.2023.105538","title":"Model predictive control of an active ankle-foot orthosis with non-linear actuation constraints","year":2023,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Prosthetics and Rehabilitation Robotics","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University; Ontario Tech University","funders":"","keywords":"Control theory (sociology); Trajectory; Model predictive control; Controller (irrigation); Tracking error; Gait; Optimal control; Computer science; Engineering; Control engineering; Control (management); Mathematics; Artificial intelligence; Mathematical optimization","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004070945,0.0002421402,0.0003357432,0.0002083333,0.00005074431,0.0000262894,0.0001416202,0.0001330455,0.000006541057],"category_scores_gemma":[0.0005790086,0.0002275928,0.00006464131,0.0003736649,0.0000798882,0.0006012979,0.00001250835,0.0003003273,0.00001411179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000724761,"about_ca_system_score_gemma":0.00007495474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003351443,"about_ca_topic_score_gemma":0.000001525686,"domain_scores_codex":[0.9987728,0.00003266527,0.0003349727,0.0002343622,0.0003083888,0.0003168243],"domain_scores_gemma":[0.9982778,0.0008092251,0.0001186868,0.0002988601,0.0003558894,0.0001395739],"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":[0.000206722,0.00005559211,0.00003072339,0.00007855099,0.0002802919,0.000008148565,0.000716411,0.9880454,0.008145819,0.0002819602,0.00001291342,0.002137497],"study_design_scores_gemma":[0.00244849,0.0003096311,0.001387275,0.00005599883,0.0002065966,0.00001115535,0.0003074176,0.9937918,0.001103339,0.00002722167,0.0001095981,0.0002414398],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04960637,0.00003708517,0.9481214,0.0002399442,0.0001921672,0.0006439365,0.0001537927,0.0005092399,0.0004960601],"genre_scores_gemma":[0.9894523,0.00003028424,0.0101927,0.0000438684,0.0000605158,0.0001026283,0.0000285811,0.00007399815,0.00001514787],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9398459,"threshold_uncertainty_score":0.9280965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008948818333597796,"score_gpt":0.2340263904071896,"score_spread":0.2250775720735919,"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."}}