{"id":"W2716029941","doi":"10.1016/j.isatra.2017.06.008","title":"Distributed reconfigurable control strategies for switching topology networked multi-agent systems","year":2017,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Control reconfiguration; Actuator; Fault tolerance; Network topology; Fault (geology); Control theory (sociology); Multi-agent system; Convex hull; Fault detection and isolation; Computer science; Lyapunov function; Controller (irrigation); Control (management); Control engineering; Engineering; Topology (electrical circuits); Distributed computing; Regular polygon; Computer network; Embedded system","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":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0005843043,0.0003401556,0.0005721915,0.00009686442,0.001870406,0.001876398,0.001729478,0.000220998,0.00002207991],"category_scores_gemma":[0.00006741191,0.0003314572,0.0002962809,0.0001144394,0.00009277665,0.001476214,0.00001428339,0.0002753682,0.00005594357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001623795,"about_ca_system_score_gemma":0.0002085135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001304476,"about_ca_topic_score_gemma":0.000529475,"domain_scores_codex":[0.9974537,0.000174377,0.0006475985,0.0006876975,0.0002363932,0.0008002168],"domain_scores_gemma":[0.9971716,0.0003215647,0.0004625261,0.001551181,0.0002594947,0.0002335913],"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":[0.0004758571,0.001853936,0.001261042,0.0006987061,0.003362174,0.000169848,0.003056227,0.6706491,0.02883146,0.2150636,0.007637554,0.06694055],"study_design_scores_gemma":[0.005385351,0.0001181781,0.001329459,0.00008790282,0.0001231737,0.00005150312,0.0005963259,0.9633204,0.0002005401,0.0005934249,0.02768182,0.0005118774],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0009097551,0.0002857042,0.9888199,0.00188054,0.005029567,0.001477819,0.000545125,0.0004400153,0.000611587],"genre_scores_gemma":[0.995533,0.00001533487,0.002768087,0.00007536242,0.0002142106,0.0007235928,0.00003914996,0.00002715839,0.0006040328],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9946233,"threshold_uncertainty_score":0.9999138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04055001124925723,"score_gpt":0.2888309478083197,"score_spread":0.2482809365590625,"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."}}