{"id":"W2066438850","doi":"10.1109/icicip.2013.6568184","title":"Indirect adaptive control of nonlinear system via dynamic multilayer neural networks with multi-time scales","year":2013,"lang":"en","type":"article","venue":"","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); Trajectory; Nonlinear system; Artificial neural network; Adaptive control; Computer science; Bounded function; Controller (irrigation); Identification (biology); Sliding mode control; Lyapunov stability; Lyapunov function; Nonlinear system identification; Tracking (education); Adaptive system; System identification; Mathematics; Control (management); Artificial intelligence; Data mining; Measure (data warehouse)","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":[0.0003420827,0.0004797058,0.0003376158,0.0001700278,0.0002600934,0.0004795088,0.0005101704,0.000462563,0.0006487364],"category_scores_gemma":[0.0008723123,0.0002156638,0.0003898669,0.0002238031,0.0003922631,0.0007425351,0.001002472,0.0006371129,0.00008942665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003779965,"about_ca_system_score_gemma":0.000251131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002480448,"about_ca_topic_score_gemma":0.002860291,"domain_scores_codex":[0.9998366,0.00003280343,0.00001378596,0.00003877979,0.00005226843,0.00002566725],"domain_scores_gemma":[0.9997987,0.0000624149,0.00006149169,0.00002665579,0.00003690692,0.00001372682],"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":[0.0001255578,0.00006192112,0.001263252,0.0001348615,0.00008084591,0.0001367387,0.000148859,0.8418231,0.02967324,0.01245241,0.0003801229,0.113719],"study_design_scores_gemma":[0.000005097728,0.00005318448,0.0003091118,0.000005976434,0.00001013316,0.00001473554,0.000004940756,0.9966617,0.001143435,0.001511193,0.0002751007,0.000005486821],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09695528,0.0009097099,0.8972037,0.0001722638,0.00007826518,0.00002974421,0.0000198865,0.0002253583,0.004405803],"genre_scores_gemma":[0.9707193,0.0002623112,0.02727384,0.00003496776,0.00002885196,0.00004358757,0.00001475549,0.000008562348,0.001613761],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002480448,"threshold_uncertainty_score":0.004932046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006474072014146067,"score_gpt":0.1903146330978021,"score_spread":0.1838405610836561,"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."}}