{"id":"W2800397421","doi":"10.1007/s10846-018-0862-0","title":"Fault-Tolerant Containment Control of Multiple Unmanned Aerial Vehicles Based on Distributed Sliding-Mode Observer","year":2018,"lang":"en","type":"article","venue":"Journal of Intelligent & Robotic Systems","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":49,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Concordia University; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Control theory (sociology); Convex hull; Backstepping; Actuator; Observer (physics); Fault tolerance; Controller (irrigation); Control engineering; Lyapunov function; Sliding mode control; Computer science; Engineering; A priori and a posteriori; Regular polygon; Adaptive control; Distributed computing; Control (management); Mathematics; Nonlinear system; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003396219,0.000512069,0.0007271289,0.0002373735,0.000421866,0.0006274015,0.0007506498,0.0004543491,0.0006635904],"category_scores_gemma":[0.0007429042,0.000221632,0.0003242271,0.0001935465,0.0004819186,0.0005217117,0.0006205087,0.0005571404,0.0001011965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003976558,"about_ca_system_score_gemma":0.0006178946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004666843,"about_ca_topic_score_gemma":0.003939731,"domain_scores_codex":[0.9997601,0.00003201314,0.00001542583,0.00007221577,0.00008679184,0.00003356763],"domain_scores_gemma":[0.9995815,0.0000922942,0.0001136198,0.00004117387,0.0001480025,0.00002332599],"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":[0.0005381952,0.0001396844,0.002149706,0.000199567,0.0001015389,0.0003175928,0.0004028896,0.8287116,0.05251465,0.009248564,0.001292918,0.1043831],"study_design_scores_gemma":[0.00002404572,0.00009668928,0.0002781735,0.0000028413,0.00001009643,0.00001293143,0.00001194099,0.9969833,0.001827105,0.0005171156,0.0002320451,0.000003739234],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1866006,0.0002920571,0.8083788,0.0001916176,0.0002151829,0.0000398149,0.00002461767,0.0004819531,0.003775427],"genre_scores_gemma":[0.992514,0.00004507351,0.00660856,0.00001364257,0.00001138115,0.00002424938,0.00001702205,0.000005185997,0.0007609355],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004666843,"threshold_uncertainty_score":0.00927937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02447847323505504,"score_gpt":0.2607258914043471,"score_spread":0.2362474181692921,"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."}}