{"id":"W1998173386","doi":"10.1109/tac.2008.919568","title":"Finite-Time Parameter Estimation in Adaptive Control of Nonlinear Systems","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Automatic Control","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":219,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Control theory (sociology); Robustness (evolution); Estimation theory; Nonlinear system; Computation; Bounded function; Perturbation (astronomy); Identifier; Convergence (economics); Adaptive control; Mathematics; Robust control; Computer science; Applied mathematics; Mathematical optimization; Algorithm; Control (management); Mathematical analysis","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":[0.0007085415,0.0003982269,0.0004613795,0.0002877846,0.0002095268,0.0007776223,0.0005287197,0.0007005796,0.001007267],"category_scores_gemma":[0.003118103,0.0002094912,0.0002648783,0.0003988242,0.0008445462,0.0005734971,0.0004200201,0.0009782289,0.0002805042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003817557,"about_ca_system_score_gemma":0.0003423372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002320821,"about_ca_topic_score_gemma":0.001534485,"domain_scores_codex":[0.9995384,0.0001658895,0.00002676632,0.00007225624,0.0001800815,0.00001659466],"domain_scores_gemma":[0.9992468,0.0005353034,0.00005001594,0.00007854876,0.00007823588,0.00001109877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001845294,0.00004092228,0.0003770497,0.0002086427,0.00006487007,0.0002331353,0.0002525546,0.6347049,0.02076418,0.1081682,0.001531727,0.2334693],"study_design_scores_gemma":[0.000006687905,0.00002643471,0.00006440618,0.00001049131,0.000003805007,0.00002314003,0.000005535809,0.9868051,0.001565787,0.01016948,0.001312125,0.000007019728],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006708024,0.001055318,0.9904066,0.0001269242,0.00007210047,0.00001095204,0.000006927215,0.0002087387,0.001404417],"genre_scores_gemma":[0.7413456,0.002250283,0.2491192,0.0001540243,0.000295845,0.0001490142,0.00006812421,0.000119561,0.00649822],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002320821,"threshold_uncertainty_score":0.004614651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0103961289365995,"score_gpt":0.2127032628072736,"score_spread":0.2023071338706741,"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."}}