{"id":"W2999262688","doi":"10.1109/tsmc.2019.2962973","title":"Adaptive Leaderless Consensus Control of Strict-Feedback Nonlinear Multiagent Systems With Unknown Control Directions","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Systems","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Backstepping; Control theory (sociology); Bounded function; Nonlinear system; Multi-agent system; Consensus; A priori and a posteriori; Computer science; Position (finance); Adaptive control; Control (management); Decentralised system; State (computer science); Mathematics; Artificial intelligence; 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":[0.000392971,0.0004549723,0.0002781113,0.0001636373,0.0003196921,0.0004658352,0.0005155381,0.0003485057,0.0004833012],"category_scores_gemma":[0.0009200182,0.0001278043,0.0002047943,0.0001803914,0.0005211383,0.0003764252,0.0005949248,0.0004259654,0.00007471366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002740502,"about_ca_system_score_gemma":0.0004420324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002807956,"about_ca_topic_score_gemma":0.001846359,"domain_scores_codex":[0.9998325,0.00004663316,0.0000104411,0.00003974791,0.00005336091,0.00001715594],"domain_scores_gemma":[0.9996293,0.0001204303,0.00009920447,0.00002765585,0.000102734,0.00002076086],"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":[0.0001283397,0.00003933933,0.0008750961,0.0001483603,0.0000327583,0.000260838,0.0002866358,0.9021152,0.02908523,0.02212406,0.0006055362,0.04429856],"study_design_scores_gemma":[0.000009353985,0.0000716457,0.0001744912,0.000002758801,0.0000041689,0.00001344567,0.00001761845,0.9961128,0.001270493,0.001980197,0.0003390745,0.000003864204],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09914536,0.0001980065,0.8965785,0.0001559354,0.00005748491,0.00003422751,0.00001908123,0.0001477776,0.003663655],"genre_scores_gemma":[0.9856977,0.0001015688,0.01268889,0.00001741363,0.00001289378,0.00003965845,0.00001461129,0.000004393004,0.001422845],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002807956,"threshold_uncertainty_score":0.005583286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02265767004265949,"score_gpt":0.2106272823932751,"score_spread":0.1879696123506156,"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."}}