{"id":"W2790684099","doi":"10.1177/0954410017754018","title":"Passivity-based attitude control with input quantization","year":2018,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Christian Studies; University of Toronto","funders":"","keywords":"Passivity; Control theory (sociology); Quantization (signal processing); Controller (irrigation); Quaternion; Nonlinear system; Computer science; Attitude control; Open-loop controller; Exponential stability; Control engineering; Mathematics; Control (management); Engineering; Artificial intelligence; Algorithm; Physics; Closed loop","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":[],"consensus_categories":[],"category_scores_codex":[0.0006445078,0.0002753683,0.0005943321,0.0002219158,0.00004966353,0.00002413085,0.0004335093,0.0001475675,0.000005709767],"category_scores_gemma":[0.0004710154,0.0002019225,0.000202768,0.0005240635,0.0001296156,0.0003867522,0.00002777787,0.0003864384,0.000001722275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001438926,"about_ca_system_score_gemma":0.00008428291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001908794,"about_ca_topic_score_gemma":0.000001957003,"domain_scores_codex":[0.9981867,0.000008737816,0.0007675312,0.0001365665,0.0006232464,0.0002772287],"domain_scores_gemma":[0.998151,0.00008860831,0.000499672,0.0001407016,0.0009848168,0.0001351708],"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":[0.0001690848,0.00005875492,0.0004331984,0.0003646123,0.0002865335,0.000001932521,0.00008036296,0.7622134,0.2283118,0.007708896,0.0002845725,0.00008686546],"study_design_scores_gemma":[0.003038399,0.0007450324,0.0006639052,0.001833723,0.0002253471,0.00006510298,0.00006588305,0.6399639,0.3501621,0.00001742294,0.002865752,0.0003534819],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3331578,0.0002076535,0.6643779,0.0003106333,0.001390168,0.0003224584,0.00001210438,0.0001122829,0.000109068],"genre_scores_gemma":[0.9881521,0.00001219979,0.01131136,0.00001609661,0.0004459522,0.000006008122,4.88275e-7,0.0000460746,0.000009727275],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6549943,"threshold_uncertainty_score":0.8234161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007620860065125038,"score_gpt":0.193939281283489,"score_spread":0.186318421218364,"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."}}