{"id":"W2062615934","doi":"10.1155/2013/461907","title":"Designing of Adaptive Model-Free Controller Based on Output Error and Feedback Linearization","year":2013,"lang":"en","type":"article","venue":"Abstract and Applied Analysis","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Control theory (sociology); Linearization; Controller (irrigation); Feedback linearization; Mathematics; Adaptive control; SIGNAL (programming language); Fuzzy logic; Surface (topology); Transfer function; Control (management); Computer science; Nonlinear system; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001342934,0.0001821012,0.0004499846,0.0002238326,0.00004693358,0.00003884267,0.00008228813,0.00009477838,0.00002109811],"category_scores_gemma":[0.00001755221,0.0001607884,0.0000870256,0.000224026,0.00004167635,0.00008492803,0.00001558936,0.0001110514,0.000009761176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001688363,"about_ca_system_score_gemma":0.00000824745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003928791,"about_ca_topic_score_gemma":0.0000136537,"domain_scores_codex":[0.9991561,0.00001027335,0.0003089117,0.0001961313,0.0001684614,0.000160123],"domain_scores_gemma":[0.9994186,0.0001447018,0.0001003803,0.0001814339,0.00007215556,0.00008270949],"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":[0.00003965495,0.00001907355,0.0004114474,0.00002125882,0.0004992328,3.619942e-7,0.00008222882,0.983595,0.0122196,0.0001395676,0.00007110047,0.002901436],"study_design_scores_gemma":[0.0009599535,0.00002601059,0.01370996,0.00001419011,0.0003659847,1.038367e-7,0.0001236087,0.9836017,0.0009105689,0.0001240245,0.00000822001,0.0001556629],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3779424,0.0001902287,0.6146014,0.00008142153,0.00002199981,0.0005304861,0.00003817026,0.0001206033,0.006473309],"genre_scores_gemma":[0.9925616,0.000006913141,0.007214634,0.00004091421,0.00004481589,0.00003313212,0.00001321647,0.00002366236,0.00006107832],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6146192,"threshold_uncertainty_score":0.6556761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01594883343537288,"score_gpt":0.2043481907641554,"score_spread":0.1883993573287825,"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."}}