{"id":"W2161036554","doi":"10.23919/acc.2004.1383675","title":"Analysis of steady state behavior of second order sliding mode algorithms","year":2004,"lang":"en","type":"article","venue":"","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"SNC-Lavalin (Canada)","funders":"","keywords":"Control theory (sociology); Actuator; Mode (computer interface); Sliding mode control; Frequency domain; Computer science; Process (computing); Transient (computer programming); Algorithm; Time domain; Function (biology); Motion (physics); Periodic function; Steady state (chemistry); Mathematics; Physics; Mathematical analysis; Artificial intelligence; Nonlinear system; Control (management); Computer vision","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":[0.0009400598,0.0002970386,0.0004311325,0.0006092498,0.00027453,0.0008396863,0.0002945016,0.0004644261,0.002286777],"category_scores_gemma":[0.004196184,0.0001799763,0.00031671,0.0002615878,0.0004956042,0.0005835482,0.0003480185,0.0004541042,0.0002143718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004823117,"about_ca_system_score_gemma":0.0003166448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006314504,"about_ca_topic_score_gemma":0.00035899,"domain_scores_codex":[0.9997154,0.00005743302,0.00001413264,0.00003347668,0.0001302967,0.00004928762],"domain_scores_gemma":[0.9981331,0.001034431,0.0001688342,0.0001376106,0.0004790864,0.00004693433],"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":[0.0003148956,0.000102356,0.004692233,0.0002099297,0.00008432896,0.000247694,0.0004044857,0.8070945,0.03603344,0.1052585,0.0009085549,0.04464903],"study_design_scores_gemma":[0.00000374209,0.00006223015,0.0008265913,0.000006629406,0.000005700904,0.00002884625,0.0000141614,0.9928547,0.002214371,0.003751433,0.0002246776,0.000006983881],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3747413,0.0004563656,0.6116946,0.0001368157,0.00003347324,0.00004565891,0.00004679462,0.0003682931,0.01247662],"genre_scores_gemma":[0.9889775,0.00009089363,0.009039032,0.00001064033,0.00000681285,0.0000365781,0.00003576343,0.00002865566,0.001774065],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002286777,"threshold_uncertainty_score":0.007650077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01653384519108718,"score_gpt":0.2567462157388852,"score_spread":0.2402123705477981,"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."}}