{"id":"W2891234926","doi":"10.1007/s11071-018-4550-1","title":"A modified homotopy optimization for parameter identification in dynamic systems with backlash discontinuity","year":2018,"lang":"en","type":"article","venue":"Nonlinear Dynamics","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Toronto Rehabilitation Institute; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Backlash; Discontinuity (linguistics); Identification (biology); Homotopy; Homotopy perturbation method; Control theory (sociology); Homotopy analysis method; Mathematics; Applied mathematics; Computer science; Mathematical analysis; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009428562,0.0008534555,0.001252937,0.000707702,0.0005547017,0.0008693554,0.001164263,0.002095161,0.004528353],"category_scores_gemma":[0.00280898,0.0005199015,0.0006863906,0.0003722864,0.0009185623,0.001225269,0.001675453,0.001256875,0.0007270157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000399962,"about_ca_system_score_gemma":0.0007467748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002517908,"about_ca_topic_score_gemma":0.002027706,"domain_scores_codex":[0.9997208,0.0001185777,0.00001660683,0.00004809794,0.00007840418,0.00001752035],"domain_scores_gemma":[0.9994277,0.0003641904,0.00002711035,0.00005254161,0.0001034912,0.00002486188],"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":[0.0002114209,0.0001456297,0.000405408,0.0003837087,0.0001258147,0.0002450475,0.0001926859,0.7925693,0.01423711,0.04414726,0.002234097,0.1451024],"study_design_scores_gemma":[0.000008252782,0.00003982555,0.00004599417,0.000008038789,0.000005757471,0.00001421133,0.000006228113,0.9953548,0.0004576865,0.003422333,0.0006300939,0.000006822302],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005127805,0.0001293796,0.9928427,0.00008621811,0.00004844629,0.00003415768,0.00001242677,0.0001090625,0.001609808],"genre_scores_gemma":[0.518619,0.0003681547,0.4694361,0.0001658534,0.0001139328,0.0004400779,0.0001180899,0.0002893244,0.0104495],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004528353,"threshold_uncertainty_score":0.01514882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00634565795349183,"score_gpt":0.2309929739622819,"score_spread":0.22464731600879,"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."}}