{"id":"W2069453837","doi":"10.1109/ccece.2013.6567710","title":"Controller design for rotary inverted pendulum system using particle swarm optimization algorithm","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced Control Systems Design","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Inverted pendulum; Particle swarm optimization; Control theory (sociology); PID controller; Nonlinear system; Controller (irrigation); Computer science; Control engineering; Double inverted pendulum; Position (finance); Engineering; Algorithm; Control (management); Physics; Temperature control; Artificial intelligence","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":[0.0001992554,0.0002175175,0.0003375754,0.00005908747,0.00009435999,0.00007838567,0.0001239086,0.0001054945,0.00005575768],"category_scores_gemma":[0.00002891167,0.0002027963,0.00007449859,0.0001518871,0.00001505101,0.0004961041,0.00001252158,0.00006800797,0.00007954837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002346271,"about_ca_system_score_gemma":0.00001672788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001096439,"about_ca_topic_score_gemma":0.000001432325,"domain_scores_codex":[0.9987202,0.00007270994,0.0004212583,0.0002183371,0.0001453502,0.0004221532],"domain_scores_gemma":[0.9992865,0.0001575025,0.00005890663,0.000208203,0.000159313,0.000129604],"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":[0.00001073932,0.000008732389,0.000007288007,0.00005371619,0.00007817898,0.000001293783,0.00003334802,0.9832858,0.01183602,0.0001832333,0.0005808763,0.003920709],"study_design_scores_gemma":[0.001962965,0.00003974642,0.000006681752,0.00003576882,0.00003888063,0.00001220365,0.0001831027,0.9914142,0.005917419,0.00007279732,0.00006599954,0.0002502124],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001028059,0.0002448011,0.9946029,0.00002039468,0.0003465134,0.002548609,0.00000534224,0.0009165555,0.0002868613],"genre_scores_gemma":[0.6131265,0.000002345185,0.3858746,0.00004318671,0.0001322071,0.0005864268,0.000004592737,0.0000699108,0.0001602854],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6120984,"threshold_uncertainty_score":0.8269792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02310561033707304,"score_gpt":0.2094721620748384,"score_spread":0.1863665517377653,"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."}}