{"id":"W2004051523","doi":"10.1049/iet-cta.2010.0609","title":"Robust adaptive control of a one degree of freedom electrostatic microelectromechanical systems model with output-error-constrained tracking","year":2011,"lang":"en","type":"article","venue":"IET Control Theory and Applications","topic":"Advanced MEMS and NEMS Technologies","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Control theory (sociology); Tracking error; Lyapunov function; Actuator; Controller (irrigation); Position (finance); Displacement (psychology); Adaptive control; Tracking (education); Constraint (computer-aided design); Computer science; Mathematics; Control (management); Nonlinear system; Physics; 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":[0.0007636411,0.0009630119,0.0008053707,0.0002261789,0.0003678134,0.001255309,0.001036671,0.001093916,0.001599814],"category_scores_gemma":[0.001352024,0.0003805704,0.0006069416,0.0002790584,0.0009922982,0.0005284839,0.001207235,0.0008974018,0.0002517584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005524118,"about_ca_system_score_gemma":0.0007456348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00561026,"about_ca_topic_score_gemma":0.002606829,"domain_scores_codex":[0.9996263,0.00007983696,0.00001780045,0.0001185799,0.0001085232,0.00004892437],"domain_scores_gemma":[0.99949,0.0002048349,0.0001400522,0.00003893359,0.0001061215,0.00002001398],"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":[0.00008114924,0.00003195787,0.0002537831,0.0001197761,0.00004371731,0.0001305656,0.0001037586,0.9672436,0.009473253,0.01176444,0.000370286,0.01038369],"study_design_scores_gemma":[0.00000951221,0.00003665792,0.00007135267,0.000003552162,0.000005781586,0.000007591936,0.000005082369,0.998295,0.0007586432,0.000567925,0.0002348519,0.000004022955],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03877013,0.0002061066,0.9534796,0.0002435095,0.00007769214,0.00005265925,0.00004935296,0.0002809695,0.006839977],"genre_scores_gemma":[0.9737532,0.0001844478,0.01952906,0.00006299416,0.00003019925,0.0001639385,0.00005265743,0.00002962091,0.006193964],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00561026,"threshold_uncertainty_score":0.01115519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03633487966125937,"score_gpt":0.2094348581438342,"score_spread":0.1730999784825748,"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."}}