{"id":"W2099991058","doi":"10.1109/acc.2014.6859213","title":"Backstepping control of PDEs with time-varying domain","year":2014,"lang":"en","type":"article","venue":"","topic":"Stability and Controllability of Differential Equations","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Backstepping; Partial differential equation; Heat equation; Control theory (sociology); Parabolic partial differential equation; Kernel (algebra); Domain (mathematical analysis); Controller (irrigation); Work (physics); Nonlinear system; Time domain; Mathematics; Computer science; Applied mathematics; Adaptive control; Mathematical analysis; Control (management); Engineering; Physics; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.0001745949,0.00009209522,0.000211542,0.00003952038,0.00003725413,0.00001562502,0.00008112092,0.00003728564,0.000413036],"category_scores_gemma":[0.00004299226,0.00007529546,0.00004702836,0.00008246664,0.00005228429,0.00007742115,0.000006402409,0.00005592568,0.00003660224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001551741,"about_ca_system_score_gemma":0.000008056103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001448549,"about_ca_topic_score_gemma":0.00003066251,"domain_scores_codex":[0.9994177,0.00003675567,0.0001858542,0.0001011063,0.0001162932,0.0001422839],"domain_scores_gemma":[0.9994381,0.0002549117,0.00002055057,0.0001988174,0.00004480883,0.00004283337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004590719,0.0003956155,0.01717955,0.001030777,0.001073687,0.000001198264,0.002573608,0.2724604,0.5344673,0.07767396,0.0002505885,0.09243418],"study_design_scores_gemma":[0.005980062,0.0002843589,0.00847578,0.0001202518,0.0001181075,0.00000286873,0.0002366826,0.9606441,0.01192951,0.01035655,0.001295253,0.0005564794],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.360125,0.0000315844,0.6159147,0.0001423304,0.00003452922,0.0001544637,0.000003741977,0.0001655741,0.02342805],"genre_scores_gemma":[0.9966095,6.705724e-7,0.003245415,0.00003516099,0.00003048698,0.00001099051,0.000002402075,0.00001132553,0.00005403772],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6881837,"threshold_uncertainty_score":0.4522455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004506913537134837,"score_gpt":0.1747672366801573,"score_spread":0.1702603231430225,"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."}}