{"id":"W1990776357","doi":"10.1021/ie0006312","title":"Trajectory Optimization for Flat Dynamic Systems","year":2001,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of Alberta","funders":"","keywords":"Discretization; Flatness (cosmology); Computer science; Mathematical optimization; Optimization problem; Nonlinear system; Benchmark (surveying); Trajectory optimization; Trajectory; Process (computing); Process optimization; Mathematics; Algorithm; Optimal control; Engineering","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":[0.0008272203,0.0008871653,0.0007696519,0.0006582284,0.0005425228,0.0009692762,0.0004731597,0.0008323201,0.004036639],"category_scores_gemma":[0.001852842,0.0003765065,0.0005259943,0.0006364963,0.001000379,0.0007335616,0.0009501717,0.0008199078,0.0004517307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001253684,"about_ca_system_score_gemma":0.001171332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009081518,"about_ca_topic_score_gemma":0.004611627,"domain_scores_codex":[0.9997289,0.0001031066,0.00001248399,0.00004976656,0.00006901552,0.00003673786],"domain_scores_gemma":[0.9994761,0.0003122035,0.00005338291,0.00003480032,0.00009277519,0.00003069776],"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":[0.00001943538,0.000008642204,0.0001226377,0.00003138822,0.000009075958,0.00002725469,0.00002255668,0.9636827,0.0004310909,0.02966664,0.0003596097,0.00561902],"study_design_scores_gemma":[0.000004357121,0.000008239515,0.00004445302,0.000002756648,0.000001363378,0.000003374512,0.000006528026,0.9889489,0.0001156111,0.01043375,0.0004280664,0.000002576536],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03157578,0.000594318,0.9572792,0.00029408,0.00003737225,0.00007156682,0.0002044682,0.0002438618,0.009699382],"genre_scores_gemma":[0.823375,0.001224249,0.1582738,0.0001476729,0.00005266574,0.0004649006,0.0009311903,0.0002026647,0.0153278],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009081518,"threshold_uncertainty_score":0.01805729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05156965780126319,"score_gpt":0.3020064371332045,"score_spread":0.2504367793319413,"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."}}