{"id":"W2107525224","doi":"10.1109/cdc.2001.981159","title":"Time-varying stabilizing feedback control for nonlinear systems with drift","year":2003,"lang":"en","type":"article","venue":"Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228)","topic":"Control and Dynamics of Mobile Robots","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Control theory (sociology); Nonlinear system; Trajectory; Feedback control; Control (management); Interception; Nonlinear control; Feedback linearization; Stability theory; Feedback loop; Computer science; Mathematics; Control engineering; Engineering; Physics","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":[0.0002928335,0.0005199366,0.0003859398,0.0003505365,0.0003600451,0.0004546372,0.0005567019,0.0003857855,0.0009367709],"category_scores_gemma":[0.0005426492,0.0001632513,0.0002870029,0.0002466934,0.0005286454,0.0003961843,0.0006639368,0.0004475221,0.0001933446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003320783,"about_ca_system_score_gemma":0.0003836043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008617296,"about_ca_topic_score_gemma":0.0007590298,"domain_scores_codex":[0.9998236,0.00003928373,0.000008310795,0.00003457994,0.00007825217,0.00001594102],"domain_scores_gemma":[0.9998565,0.00003676168,0.00003705464,0.0000173045,0.00004185105,0.00001059349],"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":[0.0001741101,0.00005478514,0.0003745001,0.0002737554,0.00007674545,0.0003560159,0.0003534937,0.4683677,0.1026073,0.1775486,0.002590314,0.2472227],"study_design_scores_gemma":[0.00001873053,0.0001586324,0.0001212869,0.00001272706,0.000009744202,0.00006209893,0.00001420344,0.9733955,0.00822191,0.01374377,0.004228182,0.00001338136],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01372487,0.0002930841,0.9835361,0.00006138467,0.00007418457,0.00002236618,0.00001270115,0.0002328552,0.002042461],"genre_scores_gemma":[0.8563588,0.0005528281,0.1371645,0.00009773377,0.00008711294,0.0001448395,0.00006211969,0.00005185303,0.0054803],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009367709,"threshold_uncertainty_score":0.003133833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01012495388069003,"score_gpt":0.2074552988732866,"score_spread":0.1973303449925966,"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."}}