{"id":"W2168323340","doi":"10.1109/icsmc.2000.886545","title":"Development of a decentralized robust controller for uncertain large-scale systems with control delays","year":2002,"lang":"en","type":"article","venue":"","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; University of Manitoba","keywords":"Control theory (sociology); Parametric statistics; Robust control; Linear matrix inequality; Bounded function; Decentralised system; Norm (philosophy); Controller (irrigation); Exponential stability; Computer science; Lyapunov function; Robustness (evolution); Linear system; State (computer science); Lyapunov stability; Mathematics; Control (management); Mathematical optimization; Control system; Engineering; Nonlinear system; Algorithm","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004376887,0.00052579,0.0005824554,0.0002021701,0.0003184792,0.0004337177,0.0009114766,0.0007273656,0.001296971],"category_scores_gemma":[0.0008915846,0.0002966543,0.0003762937,0.0001546374,0.0004180814,0.0004892854,0.0006789808,0.0007562144,0.0004405284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003101938,"about_ca_system_score_gemma":0.0007855252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007652197,"about_ca_topic_score_gemma":0.0008375252,"domain_scores_codex":[0.999728,0.00002878628,0.0000117201,0.00006581571,0.0001455916,0.00002001583],"domain_scores_gemma":[0.999709,0.0000843851,0.00005072644,0.00004134549,0.00009516789,0.00001935058],"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":[0.00006854303,0.00007543222,0.0002439188,0.0003080954,0.00006508645,0.0003868641,0.0001412696,0.7388976,0.08536013,0.04259711,0.002435949,0.12942],"study_design_scores_gemma":[0.00003624309,0.0001201338,0.0001112652,0.000008662068,0.00001202111,0.00007883629,0.000007974113,0.9836848,0.00801436,0.002836038,0.005079588,0.00001006709],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004234538,0.0001229544,0.9934881,0.00006081293,0.00004033263,0.00003876422,0.00001155168,0.0002997829,0.001703161],"genre_scores_gemma":[0.5980512,0.0005266528,0.3962108,0.0001330994,0.0001775728,0.0004285803,0.000141676,0.000113353,0.004216856],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001296971,"threshold_uncertainty_score":0.004338801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02230321412385733,"score_gpt":0.2008535663899329,"score_spread":0.1785503522660756,"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."}}