{"id":"W4312327802","doi":"10.1115/detc2022-89769","title":"Particle Swarm Optimization / PID-Computed Torque Control for a Manipulator","year":2022,"lang":"en","type":"article","venue":"","topic":"Advanced Control Systems Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"PID controller; Control theory (sociology); Particle swarm optimization; Torque; Trajectory; Control engineering; Computer science; Transient (computer programming); Tracking (education); Controller (irrigation); Tracking error; Engineering; Control (management); Temperature control; Artificial intelligence; Physics; Algorithm","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":[0.0001363199,0.0001094177,0.0001680758,0.00003215466,0.0001141825,0.00002153839,0.0001141448,0.00002467141,0.0001378669],"category_scores_gemma":[0.00001646174,0.0001188293,0.00005646867,0.0001217647,0.000005500824,0.0001038107,0.00001680885,0.00006527459,0.000009451769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001637721,"about_ca_system_score_gemma":0.0000101637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007000462,"about_ca_topic_score_gemma":0.000002618848,"domain_scores_codex":[0.9992353,0.00003461636,0.0002221902,0.0001477193,0.0001184776,0.0002416509],"domain_scores_gemma":[0.9996094,0.00009700776,0.00002861591,0.0001727098,0.00003198794,0.0000603079],"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":[0.00003048443,0.0000136605,0.00003944441,0.00001551645,0.00003766267,0.000001783013,0.00004467717,0.9916784,0.003528095,0.003384862,0.0007267866,0.0004986619],"study_design_scores_gemma":[0.001805185,0.0000667163,0.00002672978,0.000001909225,0.00001421585,0.000006004443,0.00004765793,0.9909902,0.001353164,0.0001534484,0.005386839,0.0001479127],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002795131,0.0002102185,0.9944618,0.00008479058,0.0004463672,0.0008207437,0.00001751634,0.0007108509,0.0004526355],"genre_scores_gemma":[0.986322,8.102213e-7,0.01227849,0.0001731802,0.0001134502,0.0007403413,0.00001043304,0.00004668067,0.0003146324],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9835268,"threshold_uncertainty_score":0.4845717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01033843501897717,"score_gpt":0.1996512876450562,"score_spread":0.189312852626079,"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."}}