{"id":"W4323833140","doi":"10.1137/21m1442036","title":"Adaptive Tracking Control of Hybrid Switching Markovian Systems with Its Applications","year":2023,"lang":"en","type":"article","venue":"SIAM Journal on Control and Optimization","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":200,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Mathematics; Control theory (sociology); Markov process; Tracking (education); Adaptive control; Control (management); Mathematical optimization; Computer science; Artificial intelligence; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0005163531,0.0001753383,0.0003745218,0.0001997357,0.0001753215,0.0001136634,0.0001021506,0.00005056181,0.000006137793],"category_scores_gemma":[0.00004341247,0.0001407311,0.00006430978,0.0002352711,0.00002120774,0.000251895,0.000004077362,0.0002193707,0.000004791561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005764865,"about_ca_system_score_gemma":0.00003098346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003820089,"about_ca_topic_score_gemma":0.000002601081,"domain_scores_codex":[0.9987971,0.00009540124,0.0004462861,0.0001573271,0.0002658681,0.0002380642],"domain_scores_gemma":[0.9990087,0.0003303175,0.000187827,0.0001264621,0.0002296774,0.000117022],"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":[0.000233202,0.00001531973,0.0002270327,0.00007160606,0.0001560732,0.00001048652,0.00009565678,0.9938508,0.0004561266,0.0005283792,0.00002329851,0.004332063],"study_design_scores_gemma":[0.003067205,0.0002012813,0.0003505617,0.0001871742,0.00007187443,0.00007756102,0.0003312299,0.9951676,0.00003131468,0.0000407314,0.0003183227,0.0001551414],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006336775,0.001568246,0.9902186,0.0001845478,0.000218791,0.0007105769,0.00003764015,0.0001543778,0.0005704029],"genre_scores_gemma":[0.9990976,0.0002227183,0.0002502894,0.00003909599,0.0002409656,0.00008847011,0.000005128733,0.00003160417,0.0000241031],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9927608,"threshold_uncertainty_score":0.5738848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008707116677026793,"score_gpt":0.1962662134426245,"score_spread":0.1875590967655977,"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."}}