{"id":"W2121049025","doi":"","title":"A disturbance decoupled adaptive observer and its application to faulty parameters estimation of a hydraulic driven elevator","year":2009,"lang":"en","type":"article","venue":"","topic":"Elevator Systems and Control","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Control theory (sociology); Elevator; Robustness (evolution); Computer science; Observer (physics); Estimation theory; State observer; Disturbance (geology); Convergence (economics); Control engineering; Engineering; Nonlinear system; Artificial intelligence; Algorithm; 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":[0.00005336324,0.0001019418,0.0001691331,0.00003330673,0.00001961521,0.00001080687,0.00006335647,0.00004445596,0.000002945498],"category_scores_gemma":[0.00001851994,0.00009362895,0.0000270388,0.0001307592,0.000005109344,0.0001061191,0.0000057531,0.00003978603,0.00001340316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003336463,"about_ca_system_score_gemma":0.000005038813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002801279,"about_ca_topic_score_gemma":0.00002263672,"domain_scores_codex":[0.9994422,0.000008502059,0.0001954553,0.0001371815,0.0000971757,0.0001194927],"domain_scores_gemma":[0.9996969,0.0000283459,0.00003625137,0.0001322068,0.00003745231,0.00006885536],"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":[0.000119472,0.0001063663,0.002359989,0.000219949,0.0001688711,0.000002447495,0.001545114,0.6327701,0.1960831,0.0226608,0.0007475132,0.1432163],"study_design_scores_gemma":[0.0003114963,0.00008431856,0.03546461,0.00003323945,0.00001256326,0.000001045861,0.00002406729,0.9560341,0.007641439,0.000153342,0.0001145757,0.0001252663],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8682978,0.0002160296,0.1305394,0.00008144584,0.00002539385,0.0004830424,0.000004858956,0.000100074,0.0002520148],"genre_scores_gemma":[0.9969534,0.000005011084,0.00281723,0.00007371143,0.00001341999,0.00007962876,0.000003329395,0.000009291596,0.00004502699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3232639,"threshold_uncertainty_score":0.3818078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0085737429376151,"score_gpt":0.213545863024311,"score_spread":0.2049721200866959,"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."}}