{"id":"W2045132862","doi":"10.1007/s00170-006-0721-1","title":"Clad height control in laser solid freeform fabrication using a feedforward PID controller","year":2006,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":133,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Feed forward; PID controller; Control theory (sociology); Overshoot (microwave communication); Controller (irrigation); Nonlinear system; Fabrication; Inverse; Engineering; Control engineering; Computer science; Mathematics; Control (management); Physics; Temperature control; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003299302,0.0002229591,0.0002264665,0.0001617378,0.0004438827,0.0004917338,0.000434375,0.000327843,0.0006543489],"category_scores_gemma":[0.0005858015,0.0002781285,0.00014904,0.0001393634,0.0004537556,0.0004950502,0.0004862063,0.0003363749,0.0001236888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005324152,"about_ca_system_score_gemma":0.0006151724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002186025,"about_ca_topic_score_gemma":0.005768059,"domain_scores_codex":[0.9997739,0.00002064771,0.000009068587,0.00004162755,0.0001308982,0.00002394834],"domain_scores_gemma":[0.999644,0.000133665,0.00006661306,0.00004361468,0.0000927484,0.00001930509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003930041,0.0001623322,0.00154342,0.0001361463,0.0000231806,0.0001223477,0.0003220827,0.2376194,0.5892485,0.004015615,0.0005953772,0.1658186],"study_design_scores_gemma":[0.00002637287,0.0001525798,0.001143508,0.000008456734,0.00000953855,0.00004629153,0.00002136869,0.8591438,0.1380374,0.0005933317,0.0008013252,0.00001606552],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3340764,0.000317308,0.6575823,0.0001370294,0.0001043483,0.00005037162,0.00002053982,0.0007346593,0.006977027],"genre_scores_gemma":[0.9584655,0.00006170991,0.03918091,0.00001906499,0.000006519447,0.00001286625,0.000006870697,0.00001837912,0.002228275],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002186025,"threshold_uncertainty_score":0.00434655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004132015645729226,"score_gpt":0.2242964057382397,"score_spread":0.2201643900925105,"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."}}