{"id":"W4378965600","doi":"10.18280/jesa.560201","title":"Improved Path Tracking Control in Mobile Robots Using a Hybrid FOPID Controller with Backstepping Technique: An Experimental Study","year":2023,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Control and Dynamics of Mobile Robots","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Backstepping; Control theory (sociology); Computer science; Mobile robot; Controller (irrigation); Path (computing); Control engineering; Control (management); Robot; Engineering; Artificial intelligence; Adaptive control; Computer network","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001086458,0.0005072638,0.0008806227,0.0006020624,0.0003093915,0.0004485704,0.0003900855,0.00009179093,0.00002841063],"category_scores_gemma":[0.00004225608,0.000434295,0.0001600112,0.000569192,0.00006218752,0.0008937519,0.00006536008,0.0005870098,0.00001257202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005379336,"about_ca_system_score_gemma":0.00007844426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005466561,"about_ca_topic_score_gemma":0.00006584992,"domain_scores_codex":[0.9969395,0.0003412782,0.0009791758,0.0004144405,0.000481321,0.0008443226],"domain_scores_gemma":[0.9988484,0.0001458473,0.0002525306,0.0003412313,0.0001365814,0.0002753942],"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":[0.0001842199,0.0004792024,0.003366473,0.0001053169,0.0002543863,0.001248643,0.001258978,0.756569,0.1862777,0.00000733072,0.00002588617,0.05022284],"study_design_scores_gemma":[0.0065833,0.001381273,0.02812395,0.0004495013,0.00007311935,0.001078652,0.001391678,0.9597894,0.0005197745,0.00005990493,0.00001262382,0.0005368546],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9395736,0.001183043,0.05561081,0.000006493842,0.0002959808,0.002231949,0.00001834148,0.000994712,0.00008502902],"genre_scores_gemma":[0.9958243,0.00004200226,0.003306574,0.0000238368,0.0001956639,0.0003956837,0.000004652927,0.0001793094,0.00002800366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2032204,"threshold_uncertainty_score":0.9998109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01523765426178278,"score_gpt":0.2580890424660616,"score_spread":0.2428513882042788,"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."}}