{"id":"W2018316553","doi":"10.1111/j.1934-6093.2006.tb00296.x","title":"STABILITY ANALYSIS OF UNCERTAIN DISCRETE‐TIME SYSTEMS WITH TIME‐VARYING STATE DELAY: A PARAMETER‐DEPENDENT LYAPUNOV FUNCTION APPROACH","year":2006,"lang":"en","type":"article","venue":"Asian Journal of Control","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Control theory (sociology); Lyapunov function; Stability (learning theory); Discrete time and continuous time; Mathematics; Constant (computer programming); Function (biology); State (computer science); Time domain; Computer science; Nonlinear system; Control (management); Algorithm; Statistics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001562622,0.0003456473,0.001488004,0.0004439709,0.00006971902,0.000112558,0.0002916534,0.0001200709,0.00005268482],"category_scores_gemma":[0.00005835407,0.0002622058,0.0004893263,0.0007228786,0.00009532606,0.0003923109,0.00001057991,0.0003278655,0.000005812664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002535006,"about_ca_system_score_gemma":0.00009698009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001864124,"about_ca_topic_score_gemma":0.00003507726,"domain_scores_codex":[0.9966227,0.0004026013,0.001503378,0.0002666429,0.0007719214,0.0004327355],"domain_scores_gemma":[0.9978755,0.0003574131,0.0007319263,0.0004571643,0.0004124014,0.0001656073],"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":[0.001409198,0.0001427805,0.009339638,0.0001607473,0.00504662,0.00003274926,0.0003768359,0.9758645,0.005694551,0.00005910659,0.00003992767,0.001833379],"study_design_scores_gemma":[0.004872025,0.0007371407,0.008624814,0.0001363519,0.003702687,0.0001020271,0.0006535873,0.9802468,0.0001826614,0.0001618881,0.0001308686,0.0004491497],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3787023,0.001543119,0.6152686,0.00008806711,0.0002404278,0.0007863709,0.0001431109,0.00009497723,0.003132969],"genre_scores_gemma":[0.9992803,0.000003020137,0.0004198032,0.000009848625,0.0001452087,0.000026779,0.00001740916,0.00003805961,0.00005954007],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.620578,"threshold_uncertainty_score":0.999983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00612432028567952,"score_gpt":0.1838735182166221,"score_spread":0.1777491979309426,"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."}}