{"id":"W3207653625","doi":"10.1177/01423312211049936","title":"Consensus of a class of nonlinear fractional-order multi-agent systems via dynamic output feedback controller","year":2021,"lang":"en","type":"article","venue":"Transactions of the Institute of Measurement and Control","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Control theory (sociology); Nonlinear system; Controller (irrigation); Schur complement; Exponential stability; Class (philosophy); Complement (music); Mathematics; Linear matrix inequality; Stability (learning theory); Consensus; Multi-agent system; Mathematical optimization; Lyapunov stability; State (computer science); Computer science; Control (management); Algorithm","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":[0.0003863423,0.0004270668,0.0004236123,0.0002566095,0.0004831539,0.0005698153,0.0004604388,0.0005384391,0.0004913599],"category_scores_gemma":[0.0008452192,0.0001241781,0.0003215374,0.0002069208,0.0006051412,0.0004973087,0.0006208665,0.0003847993,0.00005018166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003898658,"about_ca_system_score_gemma":0.0004182016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002485072,"about_ca_topic_score_gemma":0.00123295,"domain_scores_codex":[0.9997587,0.00004104816,0.00001287427,0.00008008142,0.00007140401,0.0000359724],"domain_scores_gemma":[0.9997039,0.0001080259,0.00008923873,0.00002809189,0.00005351763,0.00001717848],"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":[0.0001172671,0.00003954787,0.00103236,0.0001110141,0.00004900211,0.0005175183,0.000262498,0.9158426,0.02427503,0.02196041,0.0005325543,0.03526013],"study_design_scores_gemma":[0.000006687803,0.0000318306,0.0001863393,0.000002517353,0.000004967622,0.00003258062,0.00001832541,0.9952877,0.001011283,0.002995857,0.0004177345,0.000004192807],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1288933,0.0003187959,0.8658978,0.0002122944,0.00004724666,0.00004551929,0.00002976376,0.0001871831,0.004368058],"genre_scores_gemma":[0.9840738,0.0001079404,0.01489265,0.00002148806,0.00001565329,0.00003965126,0.00002089897,0.0000048762,0.0008230904],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002485072,"threshold_uncertainty_score":0.004941285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02777822355906243,"score_gpt":0.2329276655863972,"score_spread":0.2051494420273348,"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."}}