{"id":"W4379983008","doi":"10.1002/rnc.6825","title":"Adaptive control for stochastic nonlinear systems with time‐varying delays via multidimensional Taylor network","year":2023,"lang":"en","type":"article","venue":"International Journal of Robust and Nonlinear Control","topic":"Adaptive Dynamic Programming Control","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Education and Child Care","funders":"Fundamental Research Funds for the Central Universities; Shanghai Aerospace Science and Technology Innovation Foundation; Priority Academic Program Development of Jiangsu Higher Education Institutions; National Natural Science Foundation of China","keywords":"Control theory (sociology); Nonlinear system; Computer science; Kalman filter; Covariance; Convergence (economics); Tracking error; Covariance matrix; Mathematical optimization; Mathematics; Control (management); Algorithm","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":[0.0006449696,0.0004953794,0.0005728479,0.0002907914,0.0004047058,0.0005176548,0.0005392845,0.000549733,0.0008463415],"category_scores_gemma":[0.001190024,0.0003390973,0.0003625821,0.0003193424,0.000557001,0.0007364728,0.0006238995,0.0006156916,0.00009435935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006828295,"about_ca_system_score_gemma":0.0007269169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006913692,"about_ca_topic_score_gemma":0.004001027,"domain_scores_codex":[0.9997136,0.00009482064,0.00001365315,0.00006238304,0.00008646536,0.00002890675],"domain_scores_gemma":[0.9995103,0.0002248297,0.0001075774,0.00002050903,0.0001202662,0.00001652165],"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":[0.00002900211,0.000009977503,0.0001641295,0.00001945436,0.000009260636,0.00002726908,0.00002574134,0.9845633,0.001983133,0.005805456,0.0001352748,0.007227991],"study_design_scores_gemma":[0.000001012906,0.000007794153,0.00001595252,6.578892e-7,8.756799e-7,0.000001967673,0.000001098632,0.9994774,0.0001069284,0.0003301757,0.00005517148,0.000001054647],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03535957,0.0001519171,0.9617997,0.0001300891,0.00003320576,0.00002464545,0.0000174267,0.000121864,0.00236168],"genre_scores_gemma":[0.964045,0.0002270596,0.03329923,0.00004015377,0.00001967971,0.0001064202,0.00002960522,0.00001721797,0.002215569],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006913692,"threshold_uncertainty_score":0.01374692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0133189828181627,"score_gpt":0.2383035412986893,"score_spread":0.2249845584805266,"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."}}