{"id":"W4293331771","doi":"10.1007/s12555-021-0559-1","title":"Extended State Observer Based Adaptive Backstepping Nonsingular Fast Terminal Sliding-mode Control for Robotic Manipulators with Uncertainties","year":2022,"lang":"en","type":"article","venue":"International Journal of Control Automation and Systems","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Backstepping; Control theory (sociology); Robustness (evolution); Lyapunov function; Terminal sliding mode; State observer; Singularity; Computer science; Convergence (economics); Lyapunov stability; Sliding mode control; Adaptive control; Control engineering; Mathematics; Engineering; Artificial intelligence; Nonlinear system; Control (management)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007658341,0.0002540352,0.0005880822,0.0003866306,0.0001522536,0.0002046462,0.0002928998,0.0000467512,0.00001640928],"category_scores_gemma":[0.00006372617,0.0002215376,0.0001645561,0.00008978199,0.00003522324,0.000389921,0.0000168154,0.0002272241,0.000001317362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004428791,"about_ca_system_score_gemma":0.0001330546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003271501,"about_ca_topic_score_gemma":0.00001606493,"domain_scores_codex":[0.9976242,0.0002187252,0.0009089872,0.0001743385,0.000827987,0.0002457896],"domain_scores_gemma":[0.997858,0.0003648609,0.0006759115,0.000116021,0.0008712906,0.0001138446],"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":[0.0009127238,0.00004125648,0.0008808068,0.00006131416,0.0009213608,0.00009729906,0.000307811,0.9926381,0.001909962,0.0008963369,0.0001370454,0.00119596],"study_design_scores_gemma":[0.007712093,0.000478089,0.003584879,0.0002363865,0.000119885,0.0004653895,0.0008304432,0.9851314,0.00003142687,0.00005157904,0.001122952,0.0002354938],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08371149,0.0008040207,0.9118714,0.0002605876,0.002279813,0.0007767017,0.0001299872,0.00009623148,0.00006974859],"genre_scores_gemma":[0.9983798,0.000003232435,0.0008793941,0.0001072582,0.0003886172,0.00008452103,0.00001333333,0.00004895986,0.00009491511],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9146683,"threshold_uncertainty_score":0.9034041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01619225947112494,"score_gpt":0.2430448831442673,"score_spread":0.2268526236731424,"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."}}