{"id":"W2518260906","doi":"10.2507/ijsimm15(3)3.342","title":"Robust Adaptive Position and Force Tracking Control Strategy for Door-Opening Behaviour","year":2016,"lang":"en","type":"article","venue":"International Journal of Simulation Modelling","topic":"Control Systems in Engineering","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Science and Technology Commission of Shanghai Municipality; National Natural Science Foundation of China","keywords":"Control theory (sociology); Position tracking; Position (finance); Tracking (education); Computer science; Adaptive control; Control (management); Control engineering; Artificial intelligence; Engineering; Business; Psychology; Actuator","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":[0.0003718213,0.0006227401,0.0005165848,0.0004059703,0.0003799718,0.0005084123,0.0008717311,0.0005627432,0.001443508],"category_scores_gemma":[0.0007137987,0.0001753843,0.0003951476,0.0002104522,0.0003536255,0.0003453726,0.0005603041,0.0004207625,0.0002895175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003038311,"about_ca_system_score_gemma":0.0005369869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00413559,"about_ca_topic_score_gemma":0.002551155,"domain_scores_codex":[0.9997395,0.00002886898,0.00001596506,0.00008553213,0.00008842244,0.00004170384],"domain_scores_gemma":[0.9997312,0.00005590767,0.00006468564,0.00002408543,0.0001026389,0.00002141128],"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":[0.0003954639,0.0002178515,0.001006764,0.0002705361,0.00007965147,0.0004654822,0.0004055424,0.674273,0.09356404,0.008209071,0.00187939,0.2192332],"study_design_scores_gemma":[0.00004277953,0.0002361016,0.0006062275,0.0000124328,0.0000160578,0.00006859196,0.00002321515,0.9921407,0.005030732,0.0007016987,0.001104322,0.00001718251],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03147188,0.0001862508,0.9636194,0.00006700331,0.00006626427,0.00006627489,0.00001447142,0.0007285126,0.00377991],"genre_scores_gemma":[0.9651976,0.0001098702,0.03171376,0.0000432027,0.00002169393,0.0001249874,0.00002947669,0.00001912131,0.002740155],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00413559,"threshold_uncertainty_score":0.008222997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04362594185542964,"score_gpt":0.2626464119538448,"score_spread":0.2190204700984152,"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."}}