{"id":"W2952208847","doi":"10.1109/cdc.2017.8264427","title":"Stable Gaussian process based tracking control of Lagrangian systems","year":2017,"lang":"en","type":"article","venue":"","topic":"Gaussian Processes and Bayesian Inference","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Control theory (sociology); Feed forward; Stability (learning theory); Tracking (education); Compensation (psychology); Process (computing); Bounded function; Control (management); Gaussian process","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":[0.0003080701,0.0001502225,0.0002801283,0.0000803511,0.0003454081,0.0008595967,0.001912298,0.00006997342,0.00003364624],"category_scores_gemma":[0.00007102516,0.0001154964,0.0000622437,0.0001249529,0.00008088314,0.001126933,0.00006093739,0.00009462883,0.00001766616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001362621,"about_ca_system_score_gemma":0.0002057127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001937305,"about_ca_topic_score_gemma":0.00002677992,"domain_scores_codex":[0.9986832,0.00002804633,0.0002975841,0.0003403715,0.0003175712,0.0003332016],"domain_scores_gemma":[0.9982017,0.00004389033,0.0003765801,0.00103243,0.0002263716,0.0001190859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005632167,0.0004473668,0.05559298,0.002173305,0.0001022465,0.00008709429,0.0009342275,0.001662857,0.003716088,0.8911,0.000500105,0.04362743],"study_design_scores_gemma":[0.003289392,0.0003066543,0.04296875,0.0007224555,0.00004114638,0.00002895284,0.00022672,0.9171231,0.02538038,0.007433157,0.001622319,0.0008569684],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002245758,0.00009538562,0.9682931,0.001097321,0.0002382702,0.0002120125,0.000006463325,0.0001062259,0.02770545],"genre_scores_gemma":[0.994995,0.000001990553,0.004505586,0.0001042834,0.0000397511,0.00001764822,6.166186e-7,0.000008554871,0.000326575],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9927492,"threshold_uncertainty_score":0.8289111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01827914506424886,"score_gpt":0.2617862379669671,"score_spread":0.2435070929027182,"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."}}