{"id":"W1996931990","doi":"10.1002/rnc.1204","title":"Robust tracking control for a class of MIMO nonlinear systems with measurable output feedback","year":2007,"lang":"en","type":"article","venue":"International Journal of Robust and Nonlinear Control","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Dalhousie University","funders":"","keywords":"Control theory (sociology); Nonlinear system; Observer (physics); Bounded function; Sliding mode control; Tracking error; Computer science; Property (philosophy); Trajectory; Controller (irrigation); Tracking (education); Stability (learning theory); Control engineering; Mathematics; Control (management); Engineering; 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":[0.0004575758,0.0006161137,0.000509797,0.0003476423,0.0002703191,0.0007517106,0.0004652026,0.0005396681,0.001221535],"category_scores_gemma":[0.0008492263,0.0001637076,0.0004159255,0.0002255434,0.0004442453,0.0003483068,0.000463784,0.0004402106,0.0002286344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003606402,"about_ca_system_score_gemma":0.0002876626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002301779,"about_ca_topic_score_gemma":0.0009717358,"domain_scores_codex":[0.9996841,0.00005047892,0.00001893646,0.00007014423,0.0001334644,0.00004287344],"domain_scores_gemma":[0.9996641,0.0001072299,0.0001032562,0.00002941533,0.00008218714,0.00001386741],"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":[0.0003104925,0.0001159111,0.001289852,0.0003347475,0.0001265882,0.000998096,0.0003697269,0.7511458,0.0764459,0.07109564,0.002366104,0.09540115],"study_design_scores_gemma":[0.00002454949,0.00008382872,0.0003872166,0.00000594588,0.000008073627,0.00005094938,0.00001130829,0.993665,0.001983642,0.002529288,0.001243935,0.000006375702],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07783865,0.0006292845,0.9121963,0.0001814461,0.0001091198,0.00006106617,0.00005497079,0.0006580727,0.008270988],"genre_scores_gemma":[0.9815407,0.0002276904,0.0146476,0.00004977109,0.00005243627,0.00008608142,0.00006559949,0.00001786271,0.003312338],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002301779,"threshold_uncertainty_score":0.004576683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02763048999457386,"score_gpt":0.234440530356107,"score_spread":0.2068100403615331,"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."}}