{"id":"W2964359134","doi":"10.11159/eee19.109","title":"Fuzzy Sliding Mode Control For Inverted Pendulum With Random Disturbance","year":2019,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inverted pendulum; Disturbance (geology); Control theory (sociology); Sliding mode control; Mode (computer interface); Double inverted pendulum; Computer science; Fuzzy control system; Control (management); Fuzzy logic; Physics; Artificial intelligence; Geology; Nonlinear system","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":[0.0003137854,0.000456103,0.0004105896,0.0002659578,0.0003423865,0.0004891069,0.0005730194,0.0004611177,0.0009860896],"category_scores_gemma":[0.0005501138,0.0001522075,0.000334689,0.0001943525,0.0003683761,0.0003093306,0.0003058993,0.0003428284,0.0001168596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003353764,"about_ca_system_score_gemma":0.0004106725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004515529,"about_ca_topic_score_gemma":0.002494379,"domain_scores_codex":[0.9997963,0.00003282358,0.00001361192,0.00005122184,0.00007363265,0.0000324155],"domain_scores_gemma":[0.9998704,0.00003204594,0.00002548945,0.000009665797,0.0000511831,0.00001119517],"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":[0.0004528676,0.0001339526,0.001566341,0.0004463672,0.0001169872,0.001088328,0.0003643944,0.7284735,0.07435407,0.02843454,0.002559844,0.1620088],"study_design_scores_gemma":[0.00002402384,0.0001512868,0.0003203557,0.000006849967,0.0000111767,0.00003823699,0.0000127039,0.9951928,0.001974544,0.00116274,0.001097227,0.000008214677],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07916967,0.0006453166,0.9127725,0.0001887899,0.0002632838,0.00006613138,0.00003920787,0.0004204635,0.006434601],"genre_scores_gemma":[0.9811714,0.0002204517,0.01557199,0.00004303122,0.00002917965,0.00005985739,0.00003649088,0.000009236586,0.00285853],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004515529,"threshold_uncertainty_score":0.008978486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004944411545064215,"score_gpt":0.185493850061763,"score_spread":0.1805494385166988,"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."}}