{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005118394,0.0003863614,0.0005179822,0.0002249798,0.0002120806,0.0003991711,0.0006405046,0.0007178748,0.0005585686],"category_scores_gemma":[0.001655861,0.0002358755,0.0003326883,0.0001591735,0.0003786789,0.000451341,0.0004550946,0.000697531,0.0001263007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000316092,"about_ca_system_score_gemma":0.0004119625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002428226,"about_ca_topic_score_gemma":0.002053831,"domain_scores_codex":[0.9996525,0.0000590602,0.00003169431,0.00007221103,0.0001512528,0.00003327593],"domain_scores_gemma":[0.9992709,0.0001923351,0.0001406137,0.0001037792,0.0002684403,0.00002406961],"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":[0.0005969633,0.00009256238,0.004072204,0.0004632867,0.0001691384,0.001037889,0.0006013105,0.5524055,0.2149144,0.008166632,0.0009550747,0.216525],"study_design_scores_gemma":[0.00002688513,0.0001661739,0.001116524,0.00001142135,0.00002275922,0.00009164578,0.00002210857,0.9813508,0.01544504,0.0004217375,0.001303095,0.00002177328],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03237629,0.0001691618,0.966329,0.00006677757,0.00005550207,0.00002129247,0.00001340739,0.0003578792,0.000610724],"genre_scores_gemma":[0.9465043,0.0001594521,0.05192146,0.00003933436,0.00002758877,0.00005380431,0.00004601311,0.00001712844,0.001231047],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002428226,"threshold_uncertainty_score":0.004828215,"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."}}