{"id":"W2134488770","doi":"10.1109/tac.2002.803538","title":"Incremental sliding mode control of the ball and beam","year":2002,"lang":"en","type":"article","venue":"IEEE Transactions on Automatic Control","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Control theory (sociology); Ball (mathematics); Sliding mode control; Integral sliding mode; Tracking (education); Controller (irrigation); Computer science; Mathematics; Engineering; Physics; Mathematical analysis; Artificial intelligence; Control (management); Nonlinear system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001863938,0.0002878261,0.0002359389,0.0001854346,0.0002246722,0.0003658056,0.0006472227,0.000268424,0.002307807],"category_scores_gemma":[0.0003993261,0.00016377,0.0001997945,0.0001361933,0.0005328803,0.0003769139,0.0005963859,0.0002870119,0.0002102326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001865343,"about_ca_system_score_gemma":0.000309582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002315137,"about_ca_topic_score_gemma":0.001426253,"domain_scores_codex":[0.9999149,0.00001191402,0.000002786447,0.00001748469,0.00003762863,0.0000153268],"domain_scores_gemma":[0.999907,0.00002237307,0.00001818853,0.00001128595,0.00002759935,0.00001348144],"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":[0.0007607342,0.0001053303,0.001156332,0.0002961266,0.00005769626,0.0003523592,0.0005466453,0.3508037,0.188338,0.1955966,0.004264317,0.2577222],"study_design_scores_gemma":[0.00005514809,0.0003909565,0.000686568,0.00002281859,0.00001874577,0.00007437041,0.00003990719,0.9569919,0.01733571,0.01920317,0.005156088,0.00002466231],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1187769,0.0004191189,0.8627977,0.0001482385,0.0001481119,0.00005038464,0.00003778446,0.000440949,0.01718091],"genre_scores_gemma":[0.9641328,0.0002177614,0.02960539,0.00003972703,0.00001648196,0.00007219008,0.00002778185,0.00001984733,0.005868061],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002315137,"threshold_uncertainty_score":0.007720351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01215570411298549,"score_gpt":0.2064377859402924,"score_spread":0.1942820818273069,"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."}}