{"id":"W2542083207","doi":"10.1109/icarm.2016.7606964","title":"Decentralized adaptive output-feedback inverse control for a class of large-scale time delay nonlinear hysteretic systems via neural networks approximator","year":2016,"lang":"en","type":"article","venue":"","topic":"Piezoelectric Actuators and Control","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Backstepping; Control theory (sociology); Initialization; Nonlinear system; Computer science; Lemma (botany); Artificial neural network; Controller (irrigation); Inverse; Tracking error; Adaptive control; Mathematics; Control (management); 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":[0.0003329682,0.0005295007,0.0005257454,0.0001561112,0.0003135827,0.000413016,0.0007160535,0.0005393755,0.000611929],"category_scores_gemma":[0.0004717319,0.0001740006,0.0003452598,0.0001771575,0.0005083658,0.0004338022,0.0004765913,0.000625189,0.00009728604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003828757,"about_ca_system_score_gemma":0.0004802787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002359085,"about_ca_topic_score_gemma":0.002529631,"domain_scores_codex":[0.9997949,0.00003130129,0.00001036717,0.00006539291,0.00007256048,0.00002551],"domain_scores_gemma":[0.9997941,0.00006089869,0.00005487161,0.00002236162,0.00005809653,0.00000984999],"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":[0.0001499779,0.00006742073,0.001009836,0.0002258714,0.00006395282,0.0002691919,0.0002816005,0.8291027,0.05520137,0.01937,0.0007735728,0.09348463],"study_design_scores_gemma":[0.000008005022,0.00003935358,0.0001406151,0.000003411791,0.000006669274,0.00002389908,0.00000830478,0.9965459,0.001947046,0.000744292,0.0005280763,0.000004481452],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0363521,0.0002192046,0.9610117,0.00008049686,0.00003800742,0.00002396986,0.0000124005,0.0001526832,0.002109477],"genre_scores_gemma":[0.9543527,0.0002130343,0.04287474,0.00004262653,0.00003371837,0.0000728512,0.00003528745,0.00001401661,0.002361037],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002359085,"threshold_uncertainty_score":0.004690707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005508361093348368,"score_gpt":0.1866810152748835,"score_spread":0.1811726541815351,"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."}}