{"id":"W4385343144","doi":"10.1177/01423312231184513","title":"Extended state observer–based improved non-singular fast terminal sliding mode for mobile manipulators","year":2023,"lang":"en","type":"article","venue":"Transactions of the Institute of Measurement and Control","topic":"Control and Dynamics of Mobile Robots","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue; École de Technologie Supérieure","funders":"","keywords":"Control theory (sociology); Robustness (evolution); Lyapunov stability; Terminal sliding mode; Rate of convergence; Sliding mode control; Lyapunov function; State observer; Robust control; Computer science; Convergence (economics); Control system; Engineering; Nonlinear system; Control (management); Artificial intelligence","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":[0.0003367805,0.0004620582,0.0004697982,0.000257675,0.0002056202,0.0004266863,0.0006602011,0.0004430429,0.001100062],"category_scores_gemma":[0.0005523225,0.0001661511,0.0004498087,0.000192253,0.0003289814,0.0005054289,0.0004106115,0.0005177364,0.0002172331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002268071,"about_ca_system_score_gemma":0.0003861896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002128307,"about_ca_topic_score_gemma":0.002022925,"domain_scores_codex":[0.9998226,0.00002435163,0.00001589543,0.0000348088,0.00008496743,0.00001747184],"domain_scores_gemma":[0.9998253,0.00003659247,0.00004190433,0.00002291806,0.00006467125,0.000008531896],"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":[0.0004266296,0.0001179715,0.001550324,0.0005477481,0.0001155473,0.000579411,0.0004587798,0.5769473,0.1373788,0.013403,0.002028633,0.2664459],"study_design_scores_gemma":[0.00001963623,0.0002002099,0.0003947833,0.00001076206,0.00001242999,0.00004805665,0.0000100081,0.9928414,0.004832878,0.0004095984,0.001211538,0.000008768341],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02390735,0.0002599671,0.9735872,0.00004388827,0.00008140258,0.00002678976,0.00001218984,0.000461634,0.001619639],"genre_scores_gemma":[0.9299381,0.0003026898,0.06652572,0.00003451929,0.00003222619,0.00009045196,0.00007109969,0.00001806862,0.002987049],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002128307,"threshold_uncertainty_score":0.004231811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01606933793642228,"score_gpt":0.218082763701561,"score_spread":0.2020134257651388,"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."}}