{"id":"W2130180074","doi":"10.1016/j.automatica.2015.10.036","title":"Direct adaptive controller for uncertain MIMO dynamic systems with time-varying delay and dead-zone inputs","year":2015,"lang":"en","type":"article","venue":"Automatica","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":96,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Concordia University","keywords":"Control theory (sociology); Dead zone; MIMO; Parameterized complexity; Controller (irrigation); Convergence (economics); Nonlinear system; Computer science; Stability (learning theory); Dead time; Adaptive control; Dynamic positioning; Mathematics; Engineering; Control (management); Artificial intelligence; Algorithm; Channel (broadcasting)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003954537,0.0003006091,0.0006384325,0.0001071526,0.00006516796,0.00007819816,0.0001343644,0.0001132962,0.000002949169],"category_scores_gemma":[0.00009635231,0.000241106,0.00005175811,0.0001328053,0.00006140341,0.0001825278,0.00002636588,0.0001059296,0.00007129114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001928164,"about_ca_system_score_gemma":0.00005894002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004660485,"about_ca_topic_score_gemma":0.00002787199,"domain_scores_codex":[0.9986334,0.00008013616,0.0003771769,0.0002639602,0.0002524683,0.0003928377],"domain_scores_gemma":[0.9988278,0.0004584961,0.00009671709,0.0002245399,0.000181759,0.000210759],"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":[0.002557379,0.0003550309,0.0008133525,0.002529372,0.007325425,0.0004035101,0.008061927,0.9184828,0.01923645,0.002761887,0.01747512,0.01999768],"study_design_scores_gemma":[0.002864728,0.0003031592,0.00009952375,0.0002524056,0.0001044884,0.00005745471,0.0001297265,0.99353,0.00004559484,0.00002398384,0.002269296,0.0003196246],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07406383,0.005671808,0.9025981,0.0002349352,0.000577366,0.004067271,0.0001663896,0.002004556,0.01061575],"genre_scores_gemma":[0.9871701,0.000003802257,0.01157505,0.00003392423,0.0001107375,0.0002819324,0.0000140506,0.00009428401,0.0007160977],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9131063,"threshold_uncertainty_score":0.9832017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01633322380881329,"score_gpt":0.2306975605280374,"score_spread":0.2143643367192241,"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."}}