{"id":"W2969986948","doi":"10.1007/s40435-019-00570-5","title":"Hybrid method-of-receptances and optimization-based technique for pole placement in time-delayed systems","year":2019,"lang":"en","type":"article","venue":"International Journal of Dynamics and Control","topic":"stochastic dynamics and bifurcation","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Department of Science and Technology, Republic of the Philippines","keywords":"Control theory (sociology); Particle swarm optimization; Mathematics; Full state feedback; Closed-loop pole; Galerkin method; Simple (philosophy); Mathematical optimization; Computer science; Engineering; Structural engineering; Finite element method; Control (management)","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":[0.0007805277,0.0008771147,0.0009695714,0.0004408983,0.0004133023,0.0005350459,0.0007339711,0.0009588841,0.002599647],"category_scores_gemma":[0.001153174,0.0004672583,0.0007516433,0.0003445699,0.0004580246,0.0005077048,0.0006403664,0.0009083686,0.0004485066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000292405,"about_ca_system_score_gemma":0.0006170021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002039821,"about_ca_topic_score_gemma":0.002387186,"domain_scores_codex":[0.9998086,0.0000961191,0.000008994105,0.0000239138,0.00004738804,0.00001495882],"domain_scores_gemma":[0.9996052,0.0002598977,0.00002865966,0.00001981259,0.00007289981,0.00001347711],"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":[0.0001700575,0.0000600815,0.0003246306,0.000329408,0.00009230934,0.0001336905,0.0001265625,0.87138,0.01506719,0.02822055,0.001209116,0.08288649],"study_design_scores_gemma":[0.000006693978,0.00003173399,0.00004174414,0.000007314886,0.000004691086,0.00001406869,0.000004578962,0.9974424,0.0004753781,0.001434945,0.0005314755,0.000005055483],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003361248,0.0001432252,0.9954568,0.0000315336,0.00003140688,0.00001583768,0.000007633336,0.00006201673,0.0008903575],"genre_scores_gemma":[0.4590189,0.0005868574,0.5335518,0.00009437081,0.00009517304,0.000340819,0.00007119585,0.000176428,0.006064484],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002599647,"threshold_uncertainty_score":0.008696735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002893826293721331,"score_gpt":0.2459396785466631,"score_spread":0.2430458522529418,"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."}}