{"id":"W2005630414","doi":"10.1109/ecc.2014.6862366","title":"Actuator fault accommodation strategy for a team of LTI multi-agent systems","year":2014,"lang":"en","type":"article","venue":"","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Control theory (sociology); Accommodation; Multi-agent system; Computer science; Actuator; Fault (geology); Graph; Linear matrix inequality; Directed graph; Graph theory; Distributed computing; Mathematical optimization; Control (management); Mathematics; Artificial intelligence; Algorithm; Theoretical computer science","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":[0.0006953332,0.0007679716,0.0005752688,0.0003650112,0.0006680221,0.0006585192,0.001115202,0.0008439333,0.001192441],"category_scores_gemma":[0.001366582,0.0001908321,0.0003950888,0.0002751907,0.0005510771,0.0006188281,0.001104538,0.0006168243,0.0001948209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004891264,"about_ca_system_score_gemma":0.0005643059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003623909,"about_ca_topic_score_gemma":0.001905531,"domain_scores_codex":[0.9995775,0.000086263,0.00003165568,0.0001104713,0.000120764,0.0000733974],"domain_scores_gemma":[0.9992167,0.000219058,0.0002613962,0.00006465507,0.0001658643,0.00007245762],"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":[0.0001301536,0.00005710458,0.0007219404,0.0001145117,0.00004570083,0.000483776,0.0003296292,0.9466409,0.0124603,0.007249351,0.0005714013,0.03119524],"study_design_scores_gemma":[0.00001098895,0.0001072347,0.0001074947,0.000003415424,0.000008326581,0.00003435558,0.00003562294,0.9974862,0.00100215,0.0009928854,0.0002071879,0.000004084422],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06820536,0.0001013918,0.9283745,0.0001473518,0.00003783109,0.00005424747,0.0000164159,0.0002818384,0.002781157],"genre_scores_gemma":[0.9838932,0.00003471052,0.01483202,0.00003527549,0.000009329931,0.00006367605,0.00002013344,0.000007854155,0.001103804],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003623909,"threshold_uncertainty_score":0.007205606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0434249736836202,"score_gpt":0.2864028743470531,"score_spread":0.2429779006634329,"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."}}