{"id":"W2037514740","doi":"10.1002/aic.14390","title":"Constrained particle filtering methods for state estimation of nonlinear process","year":2014,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Constraint (computer-aided design); Particle filter; Mathematical optimization; Nonlinear system; Resampling; Sampling (signal processing); State (computer science); Computer science; Mathematics; Algorithm; Filter (signal processing); Physics","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":[0.001315389,0.001323803,0.001276645,0.001071416,0.0007222769,0.0009439372,0.001056488,0.001247557,0.002075348],"category_scores_gemma":[0.003828953,0.0007534857,0.001222747,0.001512199,0.0007890998,0.001431053,0.001121525,0.001936216,0.0005471451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008724636,"about_ca_system_score_gemma":0.001666009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01082745,"about_ca_topic_score_gemma":0.007056668,"domain_scores_codex":[0.9992406,0.0002524064,0.00004908469,0.0001540511,0.0002610704,0.00004272172],"domain_scores_gemma":[0.999115,0.0005538307,0.00009629538,0.00006811643,0.0001463276,0.00002032169],"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":[0.00008245798,0.0000418954,0.0008444018,0.0002944615,0.0001543062,0.0001115178,0.0001423936,0.7799896,0.004048035,0.05216584,0.002343172,0.1597818],"study_design_scores_gemma":[0.000006039129,0.000007663184,0.0001092354,0.000009765516,0.000008591646,0.00001345069,0.000004301359,0.9918134,0.0004452727,0.006315602,0.00125644,0.00001015713],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0006256059,0.0002598144,0.9985818,0.00003853306,0.00002603674,0.00001123306,0.00001237767,0.00007541241,0.0003692526],"genre_scores_gemma":[0.2136241,0.003420335,0.7761537,0.0001934258,0.0002945841,0.0003776512,0.0003814737,0.0001670543,0.005387707],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01082745,"threshold_uncertainty_score":0.02152884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02537370708875693,"score_gpt":0.3530378799003498,"score_spread":0.3276641728115929,"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."}}