{"id":"W1977206137","doi":"10.2316/journal.206.2011.1.206-3384","title":"COOPERATIVE ATTITUDE SYNCHRONIZATION FOR RIGID-BODY SPACECRAFT <em>VIA</em> VARYING COMMUNICATION TOPOLOGY","year":2011,"lang":"en","type":"article","venue":"International Journal of Robotics and Automation","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Backstepping; Control theory (sociology); Synchronization (alternating current); Quaternion; Piecewise; Nonlinear system; Stability theory; Lyapunov function; Topology (electrical circuits); Lyapunov stability; Spacecraft; Mathematics; Stability (learning theory); Computer science; Control (management); Adaptive control; Engineering; Physics; Mathematical analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002633606,0.0002573968,0.0002239675,0.0001781374,0.0002656963,0.0002953666,0.0004406646,0.0002580947,0.0005433487],"category_scores_gemma":[0.0006448356,0.0001000966,0.0001835634,0.0001873094,0.0004002326,0.0005446287,0.0006548111,0.0002803072,0.00009831039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002519851,"about_ca_system_score_gemma":0.0001953613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001040243,"about_ca_topic_score_gemma":0.0008174973,"domain_scores_codex":[0.9998671,0.00003643747,0.000005102426,0.00003801137,0.00003738218,0.00001594023],"domain_scores_gemma":[0.9997762,0.00006962277,0.00006370886,0.00003405409,0.00004157722,0.00001483009],"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":[0.0001958772,0.00005851973,0.001139473,0.00008862513,0.00003062326,0.0003963899,0.0003393841,0.8497245,0.05199723,0.03507638,0.0007099947,0.06024301],"study_design_scores_gemma":[0.000009422954,0.00005918563,0.0002184334,0.000001453769,0.000004130993,0.00002711885,0.00002592718,0.9930729,0.002788784,0.003356334,0.0004329649,0.000003396157],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1381475,0.00009641687,0.8591844,0.00007744558,0.00001948361,0.00001707984,0.00001322598,0.0001135234,0.002330894],"genre_scores_gemma":[0.988187,0.00004656868,0.01089157,0.00000959241,0.000007458204,0.00002206579,0.00001735189,0.00000562266,0.000812767],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001040243,"threshold_uncertainty_score":0.002068341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02156279232874701,"score_gpt":0.2723593289366953,"score_spread":0.2507965366079483,"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."}}