{"id":"W2621066754","doi":"10.1134/s1560354717030030","title":"Adaptive estimation of nonlinear parameters of a nonholonomic spherical robot using a modified fuzzy-based speed gradient algorithm","year":2017,"lang":"en","type":"article","venue":"Regular and Chaotic Dynamics","topic":"Control and Dynamics of Mobile Robots","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Control theory (sociology); Nonlinear system; Chaotic; Robot; Fuzzy logic; Parametric statistics; Convergence (economics); Mathematics; Heuristic; Computer science; Nonholonomic system; Controller (irrigation); Algorithm; Artificial intelligence; Mobile robot","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":[0.0003692141,0.000484322,0.0004916147,0.0002982703,0.0002473592,0.0003264041,0.0005043636,0.0004868008,0.0003607506],"category_scores_gemma":[0.0009211851,0.0002476677,0.00034758,0.0001762605,0.0003531867,0.0003564119,0.0002864794,0.0002996035,0.00008617625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000274613,"about_ca_system_score_gemma":0.0004928762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004266053,"about_ca_topic_score_gemma":0.003162223,"domain_scores_codex":[0.999855,0.00003124844,0.0000116354,0.00003820382,0.00005024753,0.00001345184],"domain_scores_gemma":[0.9997877,0.00006647254,0.00005044922,0.0000167603,0.00006738958,0.00001124972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001546187,0.00005243697,0.00167157,0.0001244471,0.00006643691,0.0001515422,0.0001996832,0.8404087,0.029288,0.004760015,0.0003598972,0.1227627],"study_design_scores_gemma":[0.000008138287,0.00003798886,0.0002339189,0.000003038864,0.00000541343,0.00001685667,0.000004437848,0.9982834,0.001015019,0.0002429513,0.0001443886,0.000004547068],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.061474,0.0001333726,0.9371025,0.00005408053,0.00001811213,0.00004293535,0.000009091004,0.0001784927,0.0009874541],"genre_scores_gemma":[0.901244,0.00008819354,0.09779999,0.00002754243,0.00001180436,0.00007723832,0.00002246426,0.00001097239,0.0007177832],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004266053,"threshold_uncertainty_score":0.008482456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01500873305711041,"score_gpt":0.226011303059098,"score_spread":0.2110025700019875,"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."}}