{"id":"W4416234097","doi":"10.3390/robotics14110165","title":"Design an Adaptive PID Control Based on RLS with a Variable Forgetting Factor for a Reconfigurable Cable-Driven Parallel Mechanism","year":2025,"lang":"en","type":"article","venue":"Robotics","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Adaptability; Controller (irrigation); Robot; PID controller; Recursive least squares filter; Forgetting; Mechanism (biology); Identification (biology)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003897343,0.0007773923,0.0004831826,0.0004777805,0.0003143387,0.0004738123,0.001346451,0.0005947183,0.001381955],"category_scores_gemma":[0.0005484366,0.0003226505,0.0006042969,0.0002770509,0.0003951766,0.0004257939,0.0005281337,0.0005178042,0.0004870762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000275748,"about_ca_system_score_gemma":0.0006445373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002009691,"about_ca_topic_score_gemma":0.001417067,"domain_scores_codex":[0.9997928,0.00001654986,0.00001535195,0.00007049052,0.00008230888,0.00002245944],"domain_scores_gemma":[0.9997779,0.00003517028,0.00005544815,0.00002915271,0.00008927597,0.00001313545],"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":[0.0002835536,0.0001449434,0.001821849,0.0008010569,0.0001940504,0.0005489106,0.0002215737,0.477855,0.1720667,0.009381166,0.001707089,0.3349741],"study_design_scores_gemma":[0.00005649829,0.0004038385,0.0005811617,0.00002266596,0.00004691853,0.0001964351,0.0000152171,0.9745159,0.01822815,0.0007456271,0.005158832,0.00002889853],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01234683,0.0002542705,0.9847221,0.00004410707,0.00008227439,0.00006777531,0.00001433177,0.0006677984,0.001800586],"genre_scores_gemma":[0.7675552,0.0004365016,0.2270413,0.00009333348,0.00007078423,0.0002783809,0.0000677281,0.00005439957,0.0044023],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002009691,"threshold_uncertainty_score":0.004623115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0188372377385811,"score_gpt":0.2168573369802432,"score_spread":0.1980200992416621,"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."}}