{"id":"W4297098349","doi":"10.2316/j.2022.206-0811","title":"DISTURBANCE REJECTION DIFFERENTIAL TRACKING VARIABLE STRUCTURE CONTROLLER, 1-8.","year":2022,"lang":"en","type":"article","venue":"International Journal of Robotics and Automation","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Control theory (sociology); Disturbance (geology); Nonlinear system; Tracking (education); Differential (mechanical device); Controller (irrigation); Active disturbance rejection control; Process (computing); Computer science; Derivative (finance); Mathematics; Control (management); Artificial intelligence; Engineering; Physics; State observer; Psychology; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003515034,0.0003776345,0.0003875485,0.0005019834,0.0003574337,0.0007373231,0.001312538,0.0005387073,0.004264521],"category_scores_gemma":[0.0006886172,0.0001271254,0.0002206903,0.0004124652,0.0002289062,0.0003292933,0.0003135029,0.0005492383,0.002472242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003528124,"about_ca_system_score_gemma":0.0003781553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009299624,"about_ca_topic_score_gemma":0.001571082,"domain_scores_codex":[0.9997266,0.00002080935,0.00001471778,0.00006451174,0.0001510247,0.00002236314],"domain_scores_gemma":[0.9997416,0.00004020573,0.00004499193,0.00003249011,0.0001264952,0.00001421742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004479771,0.0002431481,0.001380101,0.0009522133,0.00008154403,0.0003273225,0.0001904831,0.02814718,0.1886376,0.01949853,0.01193554,0.7481583],"study_design_scores_gemma":[0.000322227,0.001326429,0.004517145,0.0001150881,0.0001141117,0.0009610189,0.00006146597,0.6977195,0.1744189,0.004718656,0.1156494,0.00007601016],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01143169,0.0009309498,0.9687952,0.0001245268,0.0005814251,0.0001695738,0.0001471025,0.003157658,0.01466177],"genre_scores_gemma":[0.748066,0.001303958,0.1960274,0.0006880319,0.0002642525,0.0003839443,0.0008094899,0.0001581919,0.05229875],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004264521,"threshold_uncertainty_score":0.01426631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006072493052172092,"score_gpt":0.2022028969538132,"score_spread":0.1961304039016411,"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."}}