{"id":"W2970294200","doi":"10.1080/00207179.2019.1662092","title":"Decentralised connectively finite-time control for a class of p-normal form nonlinear large-scale systems with expanding construction and its application","year":2019,"lang":"en","type":"article","venue":"International Journal of Control","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"Division of Graduate Education; Natural Science Foundation of Liaoning Province; National Natural Science Foundation of China","keywords":"Backstepping; Control theory (sociology); Integrator; Adaptive control; Nonlinear system; Lyapunov function; Singularity; Computer science; Law; Control engineering; Mathematics; Engineering; Control (management); Bandwidth (computing); 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":[0.0005527777,0.0001791598,0.0005400387,0.0002178425,0.00002701444,0.00004806957,0.0002085855,0.0000964708,0.00001274198],"category_scores_gemma":[0.0001143046,0.0001524998,0.0001238391,0.00006223345,0.0000305967,0.0004398422,0.000009067404,0.0001501336,0.000006413397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001349962,"about_ca_system_score_gemma":0.00006466256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003184161,"about_ca_topic_score_gemma":0.000003753649,"domain_scores_codex":[0.9984821,0.00005199224,0.0007088848,0.0001343044,0.0004101103,0.0002126182],"domain_scores_gemma":[0.9972556,0.0006524133,0.0006213647,0.00008718215,0.001290629,0.00009285862],"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":[0.02154457,0.0004735539,0.04558344,0.0006936615,0.008332209,0.00004099559,0.001353218,0.528249,0.3782813,0.007656236,0.0002695046,0.007522269],"study_design_scores_gemma":[0.01871855,0.0004274033,0.001297206,0.0002424469,0.0001341521,0.0001951872,0.0002501454,0.9734746,0.001596342,0.00003233102,0.003447589,0.0001840386],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3877363,0.0008148466,0.6086901,0.0001424278,0.0008447412,0.001122685,0.0004493995,0.00003273957,0.0001667837],"genre_scores_gemma":[0.9981101,0.00002816701,0.001194532,0.00003618301,0.0005209656,0.00003769379,0.00001271661,0.00003319038,0.00002644972],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6103738,"threshold_uncertainty_score":0.6218763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004572588840933466,"score_gpt":0.2174824018622537,"score_spread":0.2129098130213202,"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."}}